Final Capstone- NLP Analysis of Job Descriptions for Possible Gender Bias¶
When I began programming and coding last year, I was always wonderfully impressed at the openness, and democracy of tech. Each time I had a question, there were people (usually far more than one) more than happy to help with an answer, and share solutions that had worked for them. As I considered the topic of my capstone, I researched problems that needed to be solved in the world. I read a few articles, all of which highlighted problems that a certainly worth tackling. Water scarcity, food insecurity, politically instability, gender inequity. However, I had to consider where my focus was, Natural Language Processing, and how I might be able to tackle any of the aforementioned problems. When I had hit a wall, I took a break to check the news, and look at Twitter, which thankfully sparked the thought for my problem to solve. A few accounts I follow were posting results from a LinkedIn study, and some data from the World Economic Forum.¶
As much as 98% of the field in Pattern Recognition was comprised of men, whereas, women outnumbered men in fields like Natural Language Processing and Text Mining.¶
What I set out to do here was analyze job postings I had scraped from Indeed, to see what if any differences existed. This project consists of multiple notebooks, all stored in my Github repo: https://github.com/tshaefrench/dataviz/tree/master/Final%20Capstone¶
After extensive cleaning, I utilized both supervised, and unsupervised approaches on the text to gain understanding, and then utilized Latent Dirichlet Allocation to project new postings to the space, to understand how similar, or different, the postings may be.¶
In [1]:
#initial imports
from collections import Counter
from IPython.display import clear_output
import json
import numpy as np
import os
import pandas as pd
import matplotlib.pyplot as plt
import warnings
warnings.filterwarnings('ignore')
%matplotlib inline
import re
import seaborn as sns
import sys
import time
#BeautifulSoup
from bs4 import BeautifulSoup
#gensim
import bz2
import logging
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
import multiprocessing
import gensim
from gensim import corpora
from gensim import models
import pickle
import pyLDAvis.gensim
from gensim.models.coherencemodel import CoherenceModel
from gensim.models.ldamodel import LdaModel
from gensim.corpora.dictionary import Dictionary
from numpy import array
from gensim.models import Phrases
#NLTK
from nltk.tokenize import WordPunctTokenizer
from nltk.corpus import stopwords # Import the stop word list
from nltk import word_tokenize
from nltk.corpus import wordnet as wn
import nltk
from nltk.stem.wordnet import WordNetLemmatizer
from nltk.tokenize import RegexpTokenizer
#plotly
import plotly.plotly as py
from plotly.graph_objs import *
import plotly
import plotly.tools as tls
import plotly.graph_objs as go
import plotly.figure_factory as ff
from plotly import __version__
#plotly offline
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
print(__version__) # requires version >= 1.9.0
init_notebook_mode(connected=True)
#sklearn
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.decomposition import TruncatedSVD
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import Normalizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.cluster import KMeans
from sklearn.preprocessing import normalize
from sklearn.decomposition import PCA
from sklearn.cluster import MiniBatchKMeans
from sklearn import metrics
from sklearn.metrics import confusion_matrix
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.model_selection import cross_val_score
from sklearn import ensemble
from sklearn.decomposition import PCA
from sklearn.cluster import MeanShift
from sklearn.cluster import estimate_bandwidth
from sklearn.cluster import KMeans
from sklearn.cluster import MiniBatchKMeans
from sklearn.svm import SVC
from sklearn.linear_model import LogisticRegression
from sklearn.neighbors import KNeighborsClassifier
from sklearn import neural_network
from sklearn.model_selection import GridSearchCV
from sklearn import ensemble
from sklearn.decomposition import PCA
from sklearn.cluster import MeanShift, estimate_bandwidth
from sklearn.cluster import KMeans, MiniBatchKMeans
from sklearn import metrics
from sklearn.metrics import confusion_matrix
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.model_selection import cross_val_score
from sklearn.utils import shuffle
from sklearn import neural_network
from sklearn.model_selection import GridSearchCV
from xgboost.sklearn import XGBClassifier
from sklearn import linear_model
#SpaCy
import spacy
spacy.load('en')
from spacy.lang.en import English
2019-03-07 19:32:00,895 : INFO : 'pattern' package not found; tag filters are not available for English
3.1.0
/anaconda3/lib/python3.6/site-packages/ipywidgets/widgets/widget.py:281: DeprecationWarning: Widget registration using a string name has been deprecated. Widget registration now uses a plain `@register` decorator.
I scraped job descriptions from fields that were considered "male-dominated" and "female-dominated" and with the use of Pony ORM, stored the results in a SQLITE database, which was then exported to a CSV file. This was done for best-practice data management, since thousands of job-descriptions could be reliably stored within a database.¶
In [2]:
df = pd.read_csv('~/Desktop/Final Capstone/jobs_db.csv')
pd.set_option('display.max_colwidth', -1)
In [3]:
df.head(10)
Out[3]:
| id | title | job_description | job_class | |
|---|---|---|---|---|
| 0 | 15 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Research Scientist - Natural Language Processing</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div></div><div><div><div><b>Conduent is the world's largest provider of diversified business process services with leading capabilities in transaction processing, automation, analytics and constituent experience. We work with both government and commercial customers in assisting them to deliver quality services to the people they serve.\n</b></div><div></div><div><b>We manage interactions with patients and the insured for a significant portion of the U.S. healthcare industry. We are the customer interface for large segments of the technology industry and the operational and processing partner of choice for public transportation systems around the world.\n</b><br/>\n<br/>\n<b>Whether it's digital payments, claims processing, benefit administration, automated tolling, customer care or distributed learning - Conduent manages and modernizes these interactions to create value for both our clients and their constituents. Learn more at </b><b>www.conduent.com </b><b>.\n</b></div><div></div><div><b>Research Scientist - Natural Language Processing for the world's largest provider of diversified BPO services\n</b></div><div></div><div>Wouldn’t it be great to use your Natural Language Processing (NLP) experience to improve the lives of citizens, patients, and employees around the world? At Conduent, we’re building algorithms and tools that do exactly that. If you’re interested in an exciting, innovative position that allows you to leverage these skills, then you’re just the kind of person we’re looking for. Conduent is enhancing its platforms in transportation, healthcare, financial services and customer care with predictive and prescriptive analytics. Because of the broad range of fields we provide services for, you can be assured of not being pigeonholed into a narrow domain and continue to be challenged by applying the latest advances in the field. We work with both government and commercial customers in assisting them to deliver quality services to the people they serve. At Conduent you will use your knowledge and training to take the everyday services that our clients are using and add analytics, automation, intelligence to make these more efficient, more usable, more exciting and more functional.\n</div><div></div><div><b>More About Us:\n</b></div><div>Conduent Labs works closely with Conduent business groups to addresses real world challenges such as the rising cost of healthcare, mobility in urban society and payment card fraud in financial welfare programs. We adopt a multidisciplinary approach that combines techniques from diverse domains such as machine learning, statistical modeling, simulation, optimization and multimedia analysis, and use big data technologies to consolidate and analyze volumes of data from multiple sources in a scalable manner. Our work is guided by insights from ethnographic analysis and deep domain knowledge from both in-house and external experts.\n</div><div></div><div>Fast facts:\n</div><ul><li><div>$6.5B in global business (2017)\n</div></li><li><div>8.9 million people estimated to travel through Conduent–managed toll systems daily.\n</div></li><li><div>Our research team has generated over 700 patents and counting.\n</div></li><li><div>19 of 20 managed U.S. healthcare plans are clients.\n</div></li><li><div>#1 provider of parking solutions in the U.S. with award-winning innovation.\n</div></li><li><div>3 of 5 top U.S. mobile service providers rely on us to deliver customer care.\n</div></li></ul><div></div><div><b>Position Description:\n</b></div><div>The Research Scientist will apply their skills to work at the leading edge of automation in industries such as customer care, healthcare, social media, education, and legal and compliance solutions. Our call centers support a diverse set of clients where automating understanding of the intent, the topics, and the sentiment of the conversation will lead to a better customer experience. In our education services we seek to understand the training needs of our clients and evaluate their effective delivery through free text analysis. Content Moderation is a growing problem and being able to automate the process of determine if text and other content posted to social media violates policies would have great value. The NLP scientist will identify use cases, create demonstrations of capabilities, and identify new opportunities in these and other Conduent businesses.\n</div><div></div><div><b>Responsibilities:\n</b></div><ul><li><div>The Natural Language Processing research scientist will be of the subject matter expert in innovative projects where natural language processing analytics will lead to increased efficiencies in businesses where Conduent operates.\n</div></li><li><div>Apply machine learning and other techniques to design and prototype intelligent, real-world applications that intelligently extract understanding from text and/or audio sources.\n</div></li><li><div>Keep abreast of the latest developments in the field by participating in conferences and other venues and can champion promising, new methods to explore.\n</div></li><li><div>Proactively identify new areas of research and in partnership with business groups develop value-based proposals for investment.\n</div></li><li><div>Work with “Intrapreneurial” business teams to develop and commercialize user-centric, adaptive and robust systems.\n</div></li><li><div>Contribute to the external community through conference participation and journal articles.\n</div></li></ul><div></div><div><b>Qualifications:\n</b></div><ul><li><div>MS with 3+ years of experience or Ph.D. in Computer Science, Computation Linguistics or a related field.\n</div></li><li><div>Experience with the various aspects of Natural Language Processing including named entity recognition, sentiment analysis, content summarization, intent recognition, and experience with an understanding of the algorithms by which these are implemented\n</div></li><li><div>Must be a self-driven problem solver, capable of implementing innovative solutions to problems, performing experiments to show feasibility of their solutions and working to refine the solutions into a real-world context and demonstrated experience of working with teams to solve problems.\n</div></li><li><div>Interdisciplinary skills: big data analytics, modeling and simulation, systems design and prototyping.\n</div></li></ul><div></div><div><b>The ideal candidate will possess …\n</b></div><div>Experience and knowledge in services domains such as business process outsourcing systems, transportation systems, healthcare systems and financial services.<br/>\n</div><div></div><div>Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by clicking on the following link, completing the accommodation request form, and submitting the request by using the "Submit" button at the bottom of the form. For those using Google Chrome or Mozilla Firefox please download the form first: click here to access or download the form .\n</div></div><div></div><div><h2 class="jobSectionHeader"><b>Job\n </b></h2>R&D, Computer Science & Engineering\n</div><div><h2 class="jobSectionHeader"><b>Primary Location\n </b></h2>United States-North Carolina-Morrisville\n</div><div><h2 class="jobSectionHeader"><b>Organization\n </b></h2>ITS\n</div><div><h2 class="jobSectionHeader"><b>Unposting Date\n </b></h2>Ongoing\n</div><div><h2 class="jobSectionHeader"><b>Travel\n </b></h2>No</div></div><div></div></div> | Natural Language Processing |
| 1 | 16 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Research Scientist - Natural Language Processing</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div></div><div><div><div><b>Conduent is the world's largest provider of diversified business process services with leading capabilities in transaction processing, automation, analytics and constituent experience. We work with both government and commercial customers in assisting them to deliver quality services to the people they serve.\n</b></div><div></div><div><b>We manage interactions with patients and the insured for a significant portion of the U.S. healthcare industry. We are the customer interface for large segments of the technology industry and the operational and processing partner of choice for public transportation systems around the world.\n</b><br/>\n<br/>\n<b>Whether it's digital payments, claims processing, benefit administration, automated tolling, customer care or distributed learning - Conduent manages and modernizes these interactions to create value for both our clients and their constituents. Learn more at </b><b>www.conduent.com </b><b>.\n</b></div><div></div><div><b>Research Scientist - Natural Language Processing for the world's largest provider of diversified BPO services\n</b></div><div></div><div>Wouldn’t it be great to use your Natural Language Processing (NLP) experience to improve the lives of citizens, patients, and employees around the world? At Conduent, we’re building algorithms and tools that do exactly that. If you’re interested in an exciting, innovative position that allows you to leverage these skills, then you’re just the kind of person we’re looking for. Conduent is enhancing its platforms in transportation, healthcare, financial services and customer care with predictive and prescriptive analytics. Because of the broad range of fields we provide services for, you can be assured of not being pigeonholed into a narrow domain and continue to be challenged by applying the latest advances in the field. We work with both government and commercial customers in assisting them to deliver quality services to the people they serve. At Conduent you will use your knowledge and training to take the everyday services that our clients are using and add analytics, automation, intelligence to make these more efficient, more usable, more exciting and more functional.\n</div><div></div><div><b>More About Us:\n</b></div><div>Conduent Labs works closely with Conduent business groups to addresses real world challenges such as the rising cost of healthcare, mobility in urban society and payment card fraud in financial welfare programs. We adopt a multidisciplinary approach that combines techniques from diverse domains such as machine learning, statistical modeling, simulation, optimization and multimedia analysis, and use big data technologies to consolidate and analyze volumes of data from multiple sources in a scalable manner. Our work is guided by insights from ethnographic analysis and deep domain knowledge from both in-house and external experts.\n</div><div></div><div>Fast facts:\n</div><ul><li><div>$6.5B in global business (2017)\n</div></li><li><div>8.9 million people estimated to travel through Conduent–managed toll systems daily.\n</div></li><li><div>Our research team has generated over 700 patents and counting.\n</div></li><li><div>19 of 20 managed U.S. healthcare plans are clients.\n</div></li><li><div>#1 provider of parking solutions in the U.S. with award-winning innovation.\n</div></li><li><div>3 of 5 top U.S. mobile service providers rely on us to deliver customer care.\n</div></li></ul><div></div><div><b>Position Description:\n</b></div><div>The Research Scientist will apply their skills to work at the leading edge of automation in industries such as customer care, healthcare, social media, education, and legal and compliance solutions. Our call centers support a diverse set of clients where automating understanding of the intent, the topics, and the sentiment of the conversation will lead to a better customer experience. In our education services we seek to understand the training needs of our clients and evaluate their effective delivery through free text analysis. Content Moderation is a growing problem and being able to automate the process of determine if text and other content posted to social media violates policies would have great value. The NLP scientist will identify use cases, create demonstrations of capabilities, and identify new opportunities in these and other Conduent businesses.\n</div><div></div><div><b>Responsibilities:\n</b></div><ul><li><div>The Natural Language Processing research scientist will be of the subject matter expert in innovative projects where natural language processing analytics will lead to increased efficiencies in businesses where Conduent operates.\n</div></li><li><div>Apply machine learning and other techniques to design and prototype intelligent, real-world applications that intelligently extract understanding from text and/or audio sources.\n</div></li><li><div>Keep abreast of the latest developments in the field by participating in conferences and other venues and can champion promising, new methods to explore.\n</div></li><li><div>Proactively identify new areas of research and in partnership with business groups develop value-based proposals for investment.\n</div></li><li><div>Work with “Intrapreneurial” business teams to develop and commercialize user-centric, adaptive and robust systems.\n</div></li><li><div>Contribute to the external community through conference participation and journal articles.\n</div></li></ul><div></div><div><b>Qualifications:\n</b></div><ul><li><div>MS with 3+ years of experience or Ph.D. in Computer Science, Computation Linguistics or a related field.\n</div></li><li><div>Experience with the various aspects of Natural Language Processing including named entity recognition, sentiment analysis, content summarization, intent recognition, and experience with an understanding of the algorithms by which these are implemented\n</div></li><li><div>Must be a self-driven problem solver, capable of implementing innovative solutions to problems, performing experiments to show feasibility of their solutions and working to refine the solutions into a real-world context and demonstrated experience of working with teams to solve problems.\n</div></li><li><div>Interdisciplinary skills: big data analytics, modeling and simulation, systems design and prototyping.\n</div></li></ul><div></div><div><b>The ideal candidate will possess …\n</b></div><div>Experience and knowledge in services domains such as business process outsourcing systems, transportation systems, healthcare systems and financial services.<br/>\n</div><div></div><div>Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by clicking on the following link, completing the accommodation request form, and submitting the request by using the "Submit" button at the bottom of the form. For those using Google Chrome or Mozilla Firefox please download the form first: click here to access or download the form .\n</div></div><div></div><div><h2 class="jobSectionHeader"><b>Job\n </b></h2>R&D, Computer Science & Engineering\n</div><div><h2 class="jobSectionHeader"><b>Primary Location\n </b></h2>United States-North Carolina-Morrisville\n</div><div><h2 class="jobSectionHeader"><b>Organization\n </b></h2>ITS\n</div><div><h2 class="jobSectionHeader"><b>Unposting Date\n </b></h2>Ongoing\n</div><div><h2 class="jobSectionHeader"><b>Travel\n </b></h2>No</div></div><div></div></div> | Natural Language Processing |
| 2 | 17 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Research Scientist - Natural Language Processing</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div></div><div><div><div><b>Conduent is the world's largest provider of diversified business process services with leading capabilities in transaction processing, automation, analytics and constituent experience. We work with both government and commercial customers in assisting them to deliver quality services to the people they serve.\n</b></div><div></div><div><b>We manage interactions with patients and the insured for a significant portion of the U.S. healthcare industry. We are the customer interface for large segments of the technology industry and the operational and processing partner of choice for public transportation systems around the world.\n</b><br/>\n<br/>\n<b>Whether it's digital payments, claims processing, benefit administration, automated tolling, customer care or distributed learning - Conduent manages and modernizes these interactions to create value for both our clients and their constituents. Learn more at </b><b>www.conduent.com </b><b>.\n</b></div><div></div><div><b>Research Scientist - Natural Language Processing for the world's largest provider of diversified BPO services\n</b></div><div></div><div>Wouldn’t it be great to use your Natural Language Processing (NLP) experience to improve the lives of citizens, patients, and employees around the world? At Conduent, we’re building algorithms and tools that do exactly that. If you’re interested in an exciting, innovative position that allows you to leverage these skills, then you’re just the kind of person we’re looking for. Conduent is enhancing its platforms in transportation, healthcare, financial services and customer care with predictive and prescriptive analytics. Because of the broad range of fields we provide services for, you can be assured of not being pigeonholed into a narrow domain and continue to be challenged by applying the latest advances in the field. We work with both government and commercial customers in assisting them to deliver quality services to the people they serve. At Conduent you will use your knowledge and training to take the everyday services that our clients are using and add analytics, automation, intelligence to make these more efficient, more usable, more exciting and more functional.\n</div><div></div><div><b>More About Us:\n</b></div><div>Conduent Labs works closely with Conduent business groups to addresses real world challenges such as the rising cost of healthcare, mobility in urban society and payment card fraud in financial welfare programs. We adopt a multidisciplinary approach that combines techniques from diverse domains such as machine learning, statistical modeling, simulation, optimization and multimedia analysis, and use big data technologies to consolidate and analyze volumes of data from multiple sources in a scalable manner. Our work is guided by insights from ethnographic analysis and deep domain knowledge from both in-house and external experts.\n</div><div></div><div>Fast facts:\n</div><ul><li><div>$6.5B in global business (2017)\n</div></li><li><div>8.9 million people estimated to travel through Conduent–managed toll systems daily.\n</div></li><li><div>Our research team has generated over 700 patents and counting.\n</div></li><li><div>19 of 20 managed U.S. healthcare plans are clients.\n</div></li><li><div>#1 provider of parking solutions in the U.S. with award-winning innovation.\n</div></li><li><div>3 of 5 top U.S. mobile service providers rely on us to deliver customer care.\n</div></li></ul><div></div><div><b>Position Description:\n</b></div><div>The Research Scientist will apply their skills to work at the leading edge of automation in industries such as customer care, healthcare, social media, education, and legal and compliance solutions. Our call centers support a diverse set of clients where automating understanding of the intent, the topics, and the sentiment of the conversation will lead to a better customer experience. In our education services we seek to understand the training needs of our clients and evaluate their effective delivery through free text analysis. Content Moderation is a growing problem and being able to automate the process of determine if text and other content posted to social media violates policies would have great value. The NLP scientist will identify use cases, create demonstrations of capabilities, and identify new opportunities in these and other Conduent businesses.\n</div><div></div><div><b>Responsibilities:\n</b></div><ul><li><div>The Natural Language Processing research scientist will be of the subject matter expert in innovative projects where natural language processing analytics will lead to increased efficiencies in businesses where Conduent operates.\n</div></li><li><div>Apply machine learning and other techniques to design and prototype intelligent, real-world applications that intelligently extract understanding from text and/or audio sources.\n</div></li><li><div>Keep abreast of the latest developments in the field by participating in conferences and other venues and can champion promising, new methods to explore.\n</div></li><li><div>Proactively identify new areas of research and in partnership with business groups develop value-based proposals for investment.\n</div></li><li><div>Work with “Intrapreneurial” business teams to develop and commercialize user-centric, adaptive and robust systems.\n</div></li><li><div>Contribute to the external community through conference participation and journal articles.\n</div></li></ul><div></div><div><b>Qualifications:\n</b></div><ul><li><div>MS with 3+ years of experience or Ph.D. in Computer Science, Computation Linguistics or a related field.\n</div></li><li><div>Experience with the various aspects of Natural Language Processing including named entity recognition, sentiment analysis, content summarization, intent recognition, and experience with an understanding of the algorithms by which these are implemented\n</div></li><li><div>Must be a self-driven problem solver, capable of implementing innovative solutions to problems, performing experiments to show feasibility of their solutions and working to refine the solutions into a real-world context and demonstrated experience of working with teams to solve problems.\n</div></li><li><div>Interdisciplinary skills: big data analytics, modeling and simulation, systems design and prototyping.\n</div></li></ul><div></div><div><b>The ideal candidate will possess …\n</b></div><div>Experience and knowledge in services domains such as business process outsourcing systems, transportation systems, healthcare systems and financial services.<br/>\n</div><div></div><div>Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by clicking on the following link, completing the accommodation request form, and submitting the request by using the "Submit" button at the bottom of the form. For those using Google Chrome or Mozilla Firefox please download the form first: click here to access or download the form .\n</div></div><div></div><div><h2 class="jobSectionHeader"><b>Job\n </b></h2>R&D, Computer Science & Engineering\n</div><div><h2 class="jobSectionHeader"><b>Primary Location\n </b></h2>United States-North Carolina-Morrisville\n</div><div><h2 class="jobSectionHeader"><b>Organization\n </b></h2>ITS\n</div><div><h2 class="jobSectionHeader"><b>Unposting Date\n </b></h2>Ongoing\n</div><div><h2 class="jobSectionHeader"><b>Travel\n </b></h2>No</div></div><div></div></div> | Natural Language Processing |
| 3 | 18 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Natural Language Processing Engineer, New York City</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md">Do you have a passion for the latest advances in Natural Language Processing? Are you looking for an energizing environment to hone your research, system design, and software engineering abilities? Do you want to build products that directly affect users?\n<br/><br/>\nWe are seeking a motivated Natural Language Processing Engineer to join our team. We are an international team of engineers and scientists with offices in New York City and Cairo. We have a diverse set of skills among our talented and professional team members, and we'd like you to contribute your abilities.\n<br/><br/>\nYou would help us improve and scale our state-of-the-art text summarization, document-clustering, and information extraction platform. Here are some examples of projects you may own: using relation extraction to detect discourse structure, tracking topics in hundred-page documents, or producing abstractive summaries for a high throughput of news articles in milliseconds.\n<br/><br/>\n--------------------------\n<br/><br/>\n<b>What you'll do day-to-day:</b><br/>\n--------------------------\n<br/><br/>\n<ul>\n<li>Find solutions to hard NLP tasks by improving upon the latest academic literature, guiding the technical direction of our products</li>\n<li>Prototype and rapidly evaluate creative ideas to gain insight into their strengths and weaknesses</li>\n<li>Plan projects using Agile practices and design experiments using sound scientific methodologies</li>\n<li>Write high-quality code in Python and Java using many open-source frameworks and libraries</li>\n<li>Collaborate with engineers to build high-performance NLP Deep Learning pipelines</li>\n</ul>\n------------------\n<br/><br/>\n<b>What you'll bring:</b><br/>\n------------------\n<br/><br/>\n<ul>\n<li>A track record of results in NLP and Deep Learning, preferably on GitHub</li>\n<li>Your coding skills to produce efficient, maintainable code quickly</li>\n<li>Your capacity to simplify and explain complex technical concepts verbally and in writing</li>\n<li>Your enthusiasm for solving problems with a team of engineers and scientists, as well as individually</li>\n<li>Your ability to adapt to changing requirements and re-prioritize with minimal supervision</li>\n<li>Your interest in publishing academic papers and keeping up to date on ground breaking published work</li>\n</ul>\n</div> | Natural Language Processing |
| 4 | 19 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Research Programmer I - Natural Language Processing</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><p><b>Information Sciences Institute (ISI)</b>, a unit of USC’s Viterbi School of Engineering, is a world leader in the research and development of advanced information processing, computing, and communications technologies. ISI has three research campuses: one in Marina Del Rey, CA; one in Arlington, VA; and one in Waltham, MA.</p><p></p><p><b><i>\nThis position is located in Waltham, MA.</i></b></p><p><br/>\nThe ISI VISTA Center (https://www.isi.edu/centers/vista/overview) seeks applicants for a Research Programmer I position in the field of natural language processing (NLP). VISTA NLP researchers work on grant-funded research in areas such as information extraction, machine translation, and information retrieval. We are a fast-paced, deadline-driven research environment focused on creating robust intelligent systems that succeed when applied to real world problems and data. As an academically situated institute, we encourage development of and contributions to open source projects.</p><p></p><p>\nExamples of current research projects include:</p><ul><li>\nCreation of a new open source information extraction toolkit to enable reasoning and experimentation using multiple document interpretations</li><li>\nAutomatic extraction of causal knowledge from varied information sources such as databases, news articles, reports, etc.</li><li>\nImproving cross-language information retrieval for lower resourced languages by improving machine translation and text search in low data scenarios</li><li>\nApplications of language technology to diverse problems such as detecting cyberattacks, assisting in disaster relief, and providing aids to human reasoning</li></ul><p></p><p>\nSuccessful candidates will have strong programming skills, interest or experience in natural language processing research and machine learning, and be passionate about building NLP systems through innovation and experimentation. Job duties include:</p><ul><li>\nWorking with researchers to design and implement new NLP components and prepare presentations and publications</li><li>\nDeveloping infrastructure for cleaning and processing data and running experiments to evaluate system performance</li><li>\nPerforming error analysis and suggesting and implementing improvements</li><li>\nTransitioning research systems by packaging them as microservices</li><li>\nTesting, debugging, and hardening complex pipelines of NLP components</li></ul><p><br/>\n<b>\nBasic Qualifications</b></p><ul><li>\nMaster’s degree in computer science or a related field</li><li>\nExpertise in Python (preferred) or Java</li></ul><p></p><p><b>\nPreferred Qualifications</b></p><ul><li>\nExperience participating in the research process in an academic setting</li><li>\nExperience applying machine learning to NLP problems</li><li>\nExperience with toolkits such as TensorFlow, PyTorch, or Keras</li></ul><p></p><p><i>\nThe University of Southern California values diversity and is committed to equal opportunity in employment.</i></p><p><br/>\nMinimum Education: Master's degree, Combined work experience and education as equivalent<br/>\n<br/>\nMinimum Experience: 1 year<br/>\n<br/>\nMinimum Field of Expertise: Demonstrated creativity and innovation in solving conceptual programming problems. Competent to work independently on complex programming.</p></div></div> | Natural Language Processing |
| 5 | 20 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Siri - Natural Language Processing Scientist/Engineer</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><div><div><div><p>Summary</p><div><div>\nPosted: <b>Jan 23, 2019</b>\n</div><div>Weekly Hours: <b>40</b>\n</div><div>Role Number: <b>200010533</b></div></div></div><div>\n"People with passion can change the world"\nThe launch of Siri was a defining moment in the history of Artificial Intelligence. Hundreds of millions of people now use Siri to send a message, play their favourite song or even take a selfie. Now imagine what you could do here at Apple? At Apple we're driving a new revolution in the way people and machines interact. We are looking for a creative Senior Applied Scientist to own the development of new algorithms for implementing conversational dialogue with the overall goal of making Siri more intelligent.\nOur team is developing the next generation of human-machine interaction. The team includes renowned academics, top software engineers and experienced machine learning practitioners. If you are interested in combining your NLP expertise with cutting edge machine learning, working alongside top quality software engineers, then come and join us. We are interested in both recent graduates and candidates with a few years experience.\nWe have access to excellent resources including huge compute grids, top-quality machine learning tools, and large quantities of data. We work together to push the boundaries of artificial intelligence with a single aim: to make a real difference to the lives of the hundreds of millions of Siri users.</div></div></div><div><div><div><div><div><div>\nKey Qualifications</div></div></div><div><div><ul><li>\nUnderstanding of standard NLP models and ability to implement them (essential)</li><li>\nSound understanding of the basics of machine learning (essential)</li><li>\nGood software engineering skills (essential)</li><li>\nExperience with large-scale machine-learned systems (desired)</li><li>\nPublications in top-tier NLP and/or machine-learning conferences (desired)</li></ul></div></div></div></div><div><div><div><div><div>\nDescription</div></div></div><div><div>\nWorking as part of an extraordinary team, including world renowned academics, top software engineers and expert machine learning practitioners, we are passionate about applying groundbreaking techniques to conversational dialogue. Siri processes more than a billion requests every week, so you will enjoy implementing machine learning at scale and you'll take on all the complexities involved in taking research work through to production. You will love the state of the art resources at Apple. Huge compute grids, top-quality machine learning tools, and large quantities of data will help you improve user facing features.\nInvestigating new NLP models and prototyping solutions within the Siri system. The job will involve data preparation, engineering NLP machine-learned models at scale and contributing to the reporting of scientific results. The overall goal is to make Siri more intelligent.\nThere are many difficult problems for us to solve, so we're keen to take on new ideas and ways of thinking. If this is you, we'd love to hear from you.</div></div></div></div><div><div><div><div><div>\nEducation & Experience</div></div></div><div><div>\nMSc or PhD in Machine Learning and Statistical Natural Language Processing (or equivalent practical experience)</div></div></div></div></div></div></div> | Natural Language Processing |
| 6 | 21 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">NLP and Machine Learning Graduate</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div class="jobsearch-JobMetadataHeader icl-u-xs-mb--md"><div class="jobsearch-JobMetadataHeader-item "><span class="icl-u-xs-mr--xs">$25 - $40 an hour</span></div></div><p>Mei is a unique messaging app (www.textmei.com) that analyzes text messages and give users intelligence on their texting relationships. We combine data and machine learning to create language processing algorithms that give actionable intelligence to our users.</p><p>Responsibilities and Duties:</p><ul><li>This position is a unique opportunity to gain hands-on experience in natural language processing/understanding and exposure to deep learning and neural networks.</li><li>We are looking for a bright recent graduate who will help develop and refine a wide range of prediction algorithms using python and explore open source tools in natural language processing. You will conduct research and help implement applications that may be incorporated into our app, so a strong programming background is a must.</li><li>This learning opportunity for a recent grad requires you to work in our office in Brooklyn, NY.</li></ul><p>Qualifications and Skills:</p><ul><li>Major or equivalent coursework in computer science, engineering, or NLP</li><li>Programming experience with Python</li><li>Familiarity with SQL</li><li>Good communication and writing skills as you will be working closely within a small team</li><li>Strong research experience</li></ul><p>Preferred (but not required):</p><ul><li>Applied experience using deep learning, Tensorflow</li><li>Experience with Django</li><li>Familiarity with NLP libraries, word embeddings</li><li>Long cover letter is not required, but give us a sense of why you’re interested in NLP/machine learning and what you have already done to demonstrate your interest. Please email this with resume to jobs (at) textmei.com.</li></ul><p>Job Types: Full-time, Flexible Hours</p><p>Salary: $25.00 to $40.00 /hour depending on experience</p><p>Job Type: Full-time</p><p>Salary: $25.00 to $40.00 /hour</p><p>Experience:</p><ul><li>Machine Learning: 1 year (Preferred)</li></ul><p>Location:</p><ul><li>New York, NY (Required)</li></ul><p>Language:</p><ul><li>English (Required)</li></ul><p>Work authorization:</p><ul><li>United States (Required)</li></ul></div> | Natural Language Processing |
| 7 | 22 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Data Scientist, Natural Language Processing (NLP), descriptive statistics, statistical modelling, machine learning</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><ul>\n<li>MSc or PhD in Statistics, Physics, Engineering, or related quantitative field</li>\n<li>Experience with analyzing and quantifying data collected through crowd sourcing protocols</li>\n<li>Strong experience with descriptive statistics and visualization tools</li>\n<li>Solid experience with Natural Language Processing (NLP)</li>\n<li>Expert in Python, or another scripting language (R, Perl); command line usage, e.g., Bash. Solid experience with SQL</li>\n<li>Knowledge of statistical modelling / machine learning techniques</li>\n<li>Experience with data selection methods: identify how to choose which data for which experimental set ups</li>\n<li>Excellent communication and organizational skills with significant attention to detail</li>\n</ul>\nAmazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.\n<br/><br/>\nData Scientist, Natural Language Processing (NLP) - Amazon AI\n<br/><br/>\nAre you a driven, data-savvy leader who thinks analytically and believes that everything can be measured and tested? Do you want to be a key member of a science and data engineering team that is building innovative NLP technologies? If your answer is YES, then continue reading because we are looking for YOU!\n<br/>Amazon Artificial Intelligence (AI) team is building speech and language solutions to serve the needs of customers around the world. We’re working hard, having fun, and making history. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.\n<br/><br/>\nWe are looking for a Data Scientist to join our science and data engineering team in the area of speech and Natural Language Processing (NLP). In this role, you will lead a range of data analytics efforts, monitor and improve the performance of our Natural Language Understanding (NLU) models.\n<br/><br/>\nAs the main person in charge of analysis and insights, your responsibilities will include:\n<br/><ul>\n<li>Diving deep into data, doing analysis, and discovering patterns/root causes. Generate insights that drive our product.</li>\n<li>Analyze and evaluate the quality of data used for model training and testing</li>\n<li>Present proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions</li>\n<li>Collaborate with scientists and engineers on data collection and feature design efforts</li>\n<li>Handle competing requests from a range of data customers</li>\n<li>Communicate your results to diverse audiences with effective writing and visualizations</li>\n</ul>\n</div> | Natural Language Processing |
| 8 | 23 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Software Engineer, Natural Language Processing /NLP</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><p>What if Alexa, Siri or Watson were any good at holding conversations? What if that conversation can be used for improving a child’s educational development and help them do better in school? What if you had a hand in making that happen?</p><p><b>Who We Are: </b><br/>DMAI is an early-stage startup committed to developing top-notch Artificial Intelligence (AI) technologies for education. As a team of UCLA and Harvard alumni including post-docs, PhDs, and undergrads, we’re looking for highly motivated individuals that are willing to develop creative solutions. At DMAI, you’ll work alongside a growing team of experienced researchers and accomplished entrepreneurs in Computer Vision, NLP, and unified AI.</p><p><b>Where We Are: </b><br/>DMAI’s office is located in the heart of the Westwood Village area of Los Angeles. We are less than a mile away from UCLA and a short ride to Beverly Hills, Santa Monica, and the Los Angeles Airport. Westwood Village provides all the best that LA has to offer in a relaxed, neighborhood atmosphere.</p><p><b>Who You Are: </b><br/>You are a team player that is able not just to survive in a fast-paced startup environment but thrive. You’re able to execute tasks efficiently, communicate effectively, and own your work. You’re passionate about the potential for AI in education and want to lead the charge in building it.</p><p><b>We Are Seeking: </b><br/>DMAI is looking for a full time Natural Language Processing (NLP) Research Engineer that has a rare combination of skills to push the leading edge in NLP / NLU / Speech recognition research, and produce working systems that are demonstrably better than the existing state of the art. If you love the challenge of applying these skills to making education better around the world, we’d like to talk to you.</p><p><b>Responsibilities</b></p><ul><li>Contribute research and prototype implementations for our next-generation Artificial Intelligence system</li><li>Build, improve and extend NLP capabilities for our dialogue system</li><li>Research and evaluate innovative approaches to NLP problems</li><li>Take results from development to production in collaboration with product engineers</li></ul><p><b>Required</b></p><ul><li>M.S. or Ph.D. in natural language processing, dialogue, human-computer interaction or equivalent experience</li><li>Strong background in one or more of the following domains: Natural Language Understanding (NLU) and Natural Language Generation (NLG), Dialogue Systems, Human-Robot Interaction, Intelligent User Interfaces</li><li>Strong knowledge of Java or Python and general software development skills</li><li>Ability to collaborate within and between cross-functional teams; excellent communication skills</li><li>Experience with at least one open-source NLP toolkit such as OpenNLP, CoreNLP, gensim, NLTK, Mallet, LingPipe, etc.</li><li>Strong publication record in top-tier conferences or journals (e.g. ACL, EMNLP, NAACL, AAAI, IJCAI)</li></ul><p><b>Preferred</b></p><ul><li>Experience with the application of Deep Learning to Natural Language Processing tasks</li><li>Experience with open-source ML toolkits such as scikit-learn, WEKA, Theano, MLlib, TensorFlow, etc.</li><li>Experience with noise and unstructured textual data in a speech recognition setting</li><li>Practical knowledge of formal syntax, formal semantics, and corpus analysis</li><li>Practical understanding of morphology, lexicology, phonetics, pragmatics, and automated speech analysis and synthesis</li><li>Experience with NLP in Chinese</li></ul><p><b>What We Offer</b></p><ul><li>Competitive Salary and Equity</li><li>Medical, Dental, Vision, HSA Option</li><li>Generous PTO</li><li>401(k) Retirement Savings Plan</li><li>Commuter Benefits</li><li>Dog Friendly Office</li><li>Office Snacks, Drinks and Fruit</li><li>A team culture that celebrates each member’s contribution!</li></ul><p><b>You Should Know: </b><br/>DMAI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, DMAI complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. DMAI expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.</p><p>Job Type: Full-time</p><p>Experience:</p><ul><li>Software Development: 5 years (Preferred)</li></ul><p>Education:</p><ul><li>Master's (Required)</li></ul><p>Language:</p><ul><li>Chinese (Preferred)</li></ul><p>Work authorization:</p><ul><li>United States (Preferred)</li></ul></div> | Natural Language Processing |
| 9 | 24 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Natural Language Processing and Machine Learning Engineer</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><div><div><div><p>Summary</p><div><div>\nPosted: <b>Feb 5, 2019</b>\n</div><div>Weekly Hours: <b>40</b>\n</div><div>Role Number: <b>200019686</b></div></div></div><div>\nAt the Siri International team within Apple we bring the Siri intelligent assistant to our customers worldwide in over 40 languages and dialects. Join us, and tackle some of the most challenging problems in natural language processing and large scale applied machine learning. You will build cutting edge natural language understanding technologies and deploy them on a global scale. Your work will advance and shape the future vision of our multi-lingual, multi-cultural Siri assistant, macOS/iOS SDKs, and Search applications used by millions across the world.</div></div></div><div><div><div><div><div><div>\nKey Qualifications</div></div></div><div><div><ul><li>\nAcademic / Industry experience in NLP and Machine Learning, or similar experience in developing language technologies for shipping products.</li><li>\nStrong coding and software engineering skills in a mainstream programming language, such as Python, Java, C/C++.</li><li>\nFamiliarity with NLP/ML tools and packages like Caffe, pyTorch, TensorFlow, Weka, scikit-learn, nltk, et al.</li><li>\nPractical experience building production quality applications related to natural language processing and machine learning.</li><li>\nIn-depth knowledge of machine learning algorithms and ability to apply them in data driven natural language processing systems.</li><li>\nAbility to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems.</li><li>\nAbility to collaborate closely with cross-functional teams</li><li>\nClear oral and written communication</li></ul></div></div></div></div><div><div><div><div><div>\nDescription</div></div></div><div><div>\nWe are looking for a highly motivated technologist with a strong background in Natural Language Processing and Machine Learning. In this position you will apply your problem solving skills to language technology challenges and opportunities within Siri International, which involves development of large-scale language technologies for many languages worldwide. The primary responsibility of this role is to apply and ship innovative machine learning and NLP solutions for the Siri assistant and various other Apple products to surprise and delight our customers. You will also have the opportunity to scale these innovations and technologies across a variety of languages. Close collaboration with the research group will give you the opportunity to help define future technical directions of Siri International.</div></div></div></div><div><div><div><div><div>\nEducation & Experience</div></div></div><div><div>\nMasters / PhD in Machine Learning, Statistics, Computer Science, Mathematics or related field with specialization in natural language processing and/or machine learning.</div></div></div></div></div></div></div> | Natural Language Processing |
Turn our df into X, for later use with modelling, train_test_split and getting a y column.
In [4]:
X = df
EDA and Data Cleaning¶
Since we web scraped, the text is in pretty raw format. To get it into useable shape, I plan to get rid of the html code before tokenizing and lemmatizing it. I'll also check for duplicates, and remove any to keep the results as clean as possible. From here, it will be easier to determine what words can be added as stop words, or, are meaningful to the analysis in some way.
In [5]:
#Let's check for unique job descriptions.
#If we drop some duplicates, we'll run our cleaning on less data, which is faster.
X.nunique()
Out[5]:
id 7882 title 3464 job_description 4334 job_class 9 dtype: int64
In [6]:
X.job_class.unique()
Out[6]:
array(['Natural Language Processing', 'Text Mining',
'Pattern Recognition', 'Machine Learning', 'Computer Vision',
'Text Analytics', 'Apache Spark', 'Speech Recognition',
'Neural Networks'], dtype=object)
In [7]:
X.groupby(X['job_class'])['job_description'].count().sort_values()
Out[7]:
job_class Pattern Recognition 792 Text Analytics 795 Neural Networks 827 Computer Vision 829 Natural Language Processing 881 Apache Spark 919 Machine Learning 934 Speech Recognition 944 Text Mining 961 Name: job_description, dtype: int64
In [8]:
#It stands to reason that we would want to keep the unique job descriptions, because titles like "Data Scientist"
#are broadly used in the field and not necessarily problematic for the scope of this project.
X = X.drop_duplicates(['job_description'], keep = 'last')
In [9]:
#Let's check to make sure we dropped what we had intended.
X.nunique()
Out[9]:
id 4334 title 3431 job_description 4334 job_class 9 dtype: int64
In [10]:
X.groupby(X['job_class'])['job_description'].count().sort_values()
Out[10]:
job_class Text Analytics 171 Text Mining 171 Pattern Recognition 321 Natural Language Processing 510 Machine Learning 573 Computer Vision 633 Apache Spark 645 Speech Recognition 648 Neural Networks 662 Name: job_description, dtype: int64
The sum of our "female dominated fields is 1,500 which is 34.6% of our dataset. I'm going to drop rows that are Computer Vision job descriptions. This should help even out the imbalance, and that particular field was the most "gender-balanced" out of the male-dominated job descriptions we have above.
In [11]:
#Dropping Computer Vision
X = X[X.job_class != 'Computer Vision']
In [12]:
X.reset_index(drop=True, inplace=True)
In [13]:
X.head(10)
Out[13]:
| id | title | job_description | job_class | |
|---|---|---|---|---|
| 0 | 17 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Research Scientist - Natural Language Processing</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div></div><div><div><div><b>Conduent is the world's largest provider of diversified business process services with leading capabilities in transaction processing, automation, analytics and constituent experience. We work with both government and commercial customers in assisting them to deliver quality services to the people they serve.\n</b></div><div></div><div><b>We manage interactions with patients and the insured for a significant portion of the U.S. healthcare industry. We are the customer interface for large segments of the technology industry and the operational and processing partner of choice for public transportation systems around the world.\n</b><br/>\n<br/>\n<b>Whether it's digital payments, claims processing, benefit administration, automated tolling, customer care or distributed learning - Conduent manages and modernizes these interactions to create value for both our clients and their constituents. Learn more at </b><b>www.conduent.com </b><b>.\n</b></div><div></div><div><b>Research Scientist - Natural Language Processing for the world's largest provider of diversified BPO services\n</b></div><div></div><div>Wouldn’t it be great to use your Natural Language Processing (NLP) experience to improve the lives of citizens, patients, and employees around the world? At Conduent, we’re building algorithms and tools that do exactly that. If you’re interested in an exciting, innovative position that allows you to leverage these skills, then you’re just the kind of person we’re looking for. Conduent is enhancing its platforms in transportation, healthcare, financial services and customer care with predictive and prescriptive analytics. Because of the broad range of fields we provide services for, you can be assured of not being pigeonholed into a narrow domain and continue to be challenged by applying the latest advances in the field. We work with both government and commercial customers in assisting them to deliver quality services to the people they serve. At Conduent you will use your knowledge and training to take the everyday services that our clients are using and add analytics, automation, intelligence to make these more efficient, more usable, more exciting and more functional.\n</div><div></div><div><b>More About Us:\n</b></div><div>Conduent Labs works closely with Conduent business groups to addresses real world challenges such as the rising cost of healthcare, mobility in urban society and payment card fraud in financial welfare programs. We adopt a multidisciplinary approach that combines techniques from diverse domains such as machine learning, statistical modeling, simulation, optimization and multimedia analysis, and use big data technologies to consolidate and analyze volumes of data from multiple sources in a scalable manner. Our work is guided by insights from ethnographic analysis and deep domain knowledge from both in-house and external experts.\n</div><div></div><div>Fast facts:\n</div><ul><li><div>$6.5B in global business (2017)\n</div></li><li><div>8.9 million people estimated to travel through Conduent–managed toll systems daily.\n</div></li><li><div>Our research team has generated over 700 patents and counting.\n</div></li><li><div>19 of 20 managed U.S. healthcare plans are clients.\n</div></li><li><div>#1 provider of parking solutions in the U.S. with award-winning innovation.\n</div></li><li><div>3 of 5 top U.S. mobile service providers rely on us to deliver customer care.\n</div></li></ul><div></div><div><b>Position Description:\n</b></div><div>The Research Scientist will apply their skills to work at the leading edge of automation in industries such as customer care, healthcare, social media, education, and legal and compliance solutions. Our call centers support a diverse set of clients where automating understanding of the intent, the topics, and the sentiment of the conversation will lead to a better customer experience. In our education services we seek to understand the training needs of our clients and evaluate their effective delivery through free text analysis. Content Moderation is a growing problem and being able to automate the process of determine if text and other content posted to social media violates policies would have great value. The NLP scientist will identify use cases, create demonstrations of capabilities, and identify new opportunities in these and other Conduent businesses.\n</div><div></div><div><b>Responsibilities:\n</b></div><ul><li><div>The Natural Language Processing research scientist will be of the subject matter expert in innovative projects where natural language processing analytics will lead to increased efficiencies in businesses where Conduent operates.\n</div></li><li><div>Apply machine learning and other techniques to design and prototype intelligent, real-world applications that intelligently extract understanding from text and/or audio sources.\n</div></li><li><div>Keep abreast of the latest developments in the field by participating in conferences and other venues and can champion promising, new methods to explore.\n</div></li><li><div>Proactively identify new areas of research and in partnership with business groups develop value-based proposals for investment.\n</div></li><li><div>Work with “Intrapreneurial” business teams to develop and commercialize user-centric, adaptive and robust systems.\n</div></li><li><div>Contribute to the external community through conference participation and journal articles.\n</div></li></ul><div></div><div><b>Qualifications:\n</b></div><ul><li><div>MS with 3+ years of experience or Ph.D. in Computer Science, Computation Linguistics or a related field.\n</div></li><li><div>Experience with the various aspects of Natural Language Processing including named entity recognition, sentiment analysis, content summarization, intent recognition, and experience with an understanding of the algorithms by which these are implemented\n</div></li><li><div>Must be a self-driven problem solver, capable of implementing innovative solutions to problems, performing experiments to show feasibility of their solutions and working to refine the solutions into a real-world context and demonstrated experience of working with teams to solve problems.\n</div></li><li><div>Interdisciplinary skills: big data analytics, modeling and simulation, systems design and prototyping.\n</div></li></ul><div></div><div><b>The ideal candidate will possess …\n</b></div><div>Experience and knowledge in services domains such as business process outsourcing systems, transportation systems, healthcare systems and financial services.<br/>\n</div><div></div><div>Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by clicking on the following link, completing the accommodation request form, and submitting the request by using the "Submit" button at the bottom of the form. For those using Google Chrome or Mozilla Firefox please download the form first: click here to access or download the form .\n</div></div><div></div><div><h2 class="jobSectionHeader"><b>Job\n </b></h2>R&D, Computer Science & Engineering\n</div><div><h2 class="jobSectionHeader"><b>Primary Location\n </b></h2>United States-North Carolina-Morrisville\n</div><div><h2 class="jobSectionHeader"><b>Organization\n </b></h2>ITS\n</div><div><h2 class="jobSectionHeader"><b>Unposting Date\n </b></h2>Ongoing\n</div><div><h2 class="jobSectionHeader"><b>Travel\n </b></h2>No</div></div><div></div></div> | Natural Language Processing |
| 1 | 18 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Natural Language Processing Engineer, New York City</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md">Do you have a passion for the latest advances in Natural Language Processing? Are you looking for an energizing environment to hone your research, system design, and software engineering abilities? Do you want to build products that directly affect users?\n<br/><br/>\nWe are seeking a motivated Natural Language Processing Engineer to join our team. We are an international team of engineers and scientists with offices in New York City and Cairo. We have a diverse set of skills among our talented and professional team members, and we'd like you to contribute your abilities.\n<br/><br/>\nYou would help us improve and scale our state-of-the-art text summarization, document-clustering, and information extraction platform. Here are some examples of projects you may own: using relation extraction to detect discourse structure, tracking topics in hundred-page documents, or producing abstractive summaries for a high throughput of news articles in milliseconds.\n<br/><br/>\n--------------------------\n<br/><br/>\n<b>What you'll do day-to-day:</b><br/>\n--------------------------\n<br/><br/>\n<ul>\n<li>Find solutions to hard NLP tasks by improving upon the latest academic literature, guiding the technical direction of our products</li>\n<li>Prototype and rapidly evaluate creative ideas to gain insight into their strengths and weaknesses</li>\n<li>Plan projects using Agile practices and design experiments using sound scientific methodologies</li>\n<li>Write high-quality code in Python and Java using many open-source frameworks and libraries</li>\n<li>Collaborate with engineers to build high-performance NLP Deep Learning pipelines</li>\n</ul>\n------------------\n<br/><br/>\n<b>What you'll bring:</b><br/>\n------------------\n<br/><br/>\n<ul>\n<li>A track record of results in NLP and Deep Learning, preferably on GitHub</li>\n<li>Your coding skills to produce efficient, maintainable code quickly</li>\n<li>Your capacity to simplify and explain complex technical concepts verbally and in writing</li>\n<li>Your enthusiasm for solving problems with a team of engineers and scientists, as well as individually</li>\n<li>Your ability to adapt to changing requirements and re-prioritize with minimal supervision</li>\n<li>Your interest in publishing academic papers and keeping up to date on ground breaking published work</li>\n</ul>\n</div> | Natural Language Processing |
| 2 | 19 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Research Programmer I - Natural Language Processing</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><p><b>Information Sciences Institute (ISI)</b>, a unit of USC’s Viterbi School of Engineering, is a world leader in the research and development of advanced information processing, computing, and communications technologies. ISI has three research campuses: one in Marina Del Rey, CA; one in Arlington, VA; and one in Waltham, MA.</p><p></p><p><b><i>\nThis position is located in Waltham, MA.</i></b></p><p><br/>\nThe ISI VISTA Center (https://www.isi.edu/centers/vista/overview) seeks applicants for a Research Programmer I position in the field of natural language processing (NLP). VISTA NLP researchers work on grant-funded research in areas such as information extraction, machine translation, and information retrieval. We are a fast-paced, deadline-driven research environment focused on creating robust intelligent systems that succeed when applied to real world problems and data. As an academically situated institute, we encourage development of and contributions to open source projects.</p><p></p><p>\nExamples of current research projects include:</p><ul><li>\nCreation of a new open source information extraction toolkit to enable reasoning and experimentation using multiple document interpretations</li><li>\nAutomatic extraction of causal knowledge from varied information sources such as databases, news articles, reports, etc.</li><li>\nImproving cross-language information retrieval for lower resourced languages by improving machine translation and text search in low data scenarios</li><li>\nApplications of language technology to diverse problems such as detecting cyberattacks, assisting in disaster relief, and providing aids to human reasoning</li></ul><p></p><p>\nSuccessful candidates will have strong programming skills, interest or experience in natural language processing research and machine learning, and be passionate about building NLP systems through innovation and experimentation. Job duties include:</p><ul><li>\nWorking with researchers to design and implement new NLP components and prepare presentations and publications</li><li>\nDeveloping infrastructure for cleaning and processing data and running experiments to evaluate system performance</li><li>\nPerforming error analysis and suggesting and implementing improvements</li><li>\nTransitioning research systems by packaging them as microservices</li><li>\nTesting, debugging, and hardening complex pipelines of NLP components</li></ul><p><br/>\n<b>\nBasic Qualifications</b></p><ul><li>\nMaster’s degree in computer science or a related field</li><li>\nExpertise in Python (preferred) or Java</li></ul><p></p><p><b>\nPreferred Qualifications</b></p><ul><li>\nExperience participating in the research process in an academic setting</li><li>\nExperience applying machine learning to NLP problems</li><li>\nExperience with toolkits such as TensorFlow, PyTorch, or Keras</li></ul><p></p><p><i>\nThe University of Southern California values diversity and is committed to equal opportunity in employment.</i></p><p><br/>\nMinimum Education: Master's degree, Combined work experience and education as equivalent<br/>\n<br/>\nMinimum Experience: 1 year<br/>\n<br/>\nMinimum Field of Expertise: Demonstrated creativity and innovation in solving conceptual programming problems. Competent to work independently on complex programming.</p></div></div> | Natural Language Processing |
| 3 | 20 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Siri - Natural Language Processing Scientist/Engineer</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><div><div><div><p>Summary</p><div><div>\nPosted: <b>Jan 23, 2019</b>\n</div><div>Weekly Hours: <b>40</b>\n</div><div>Role Number: <b>200010533</b></div></div></div><div>\n"People with passion can change the world"\nThe launch of Siri was a defining moment in the history of Artificial Intelligence. Hundreds of millions of people now use Siri to send a message, play their favourite song or even take a selfie. Now imagine what you could do here at Apple? At Apple we're driving a new revolution in the way people and machines interact. We are looking for a creative Senior Applied Scientist to own the development of new algorithms for implementing conversational dialogue with the overall goal of making Siri more intelligent.\nOur team is developing the next generation of human-machine interaction. The team includes renowned academics, top software engineers and experienced machine learning practitioners. If you are interested in combining your NLP expertise with cutting edge machine learning, working alongside top quality software engineers, then come and join us. We are interested in both recent graduates and candidates with a few years experience.\nWe have access to excellent resources including huge compute grids, top-quality machine learning tools, and large quantities of data. We work together to push the boundaries of artificial intelligence with a single aim: to make a real difference to the lives of the hundreds of millions of Siri users.</div></div></div><div><div><div><div><div><div>\nKey Qualifications</div></div></div><div><div><ul><li>\nUnderstanding of standard NLP models and ability to implement them (essential)</li><li>\nSound understanding of the basics of machine learning (essential)</li><li>\nGood software engineering skills (essential)</li><li>\nExperience with large-scale machine-learned systems (desired)</li><li>\nPublications in top-tier NLP and/or machine-learning conferences (desired)</li></ul></div></div></div></div><div><div><div><div><div>\nDescription</div></div></div><div><div>\nWorking as part of an extraordinary team, including world renowned academics, top software engineers and expert machine learning practitioners, we are passionate about applying groundbreaking techniques to conversational dialogue. Siri processes more than a billion requests every week, so you will enjoy implementing machine learning at scale and you'll take on all the complexities involved in taking research work through to production. You will love the state of the art resources at Apple. Huge compute grids, top-quality machine learning tools, and large quantities of data will help you improve user facing features.\nInvestigating new NLP models and prototyping solutions within the Siri system. The job will involve data preparation, engineering NLP machine-learned models at scale and contributing to the reporting of scientific results. The overall goal is to make Siri more intelligent.\nThere are many difficult problems for us to solve, so we're keen to take on new ideas and ways of thinking. If this is you, we'd love to hear from you.</div></div></div></div><div><div><div><div><div>\nEducation & Experience</div></div></div><div><div>\nMSc or PhD in Machine Learning and Statistical Natural Language Processing (or equivalent practical experience)</div></div></div></div></div></div></div> | Natural Language Processing |
| 4 | 21 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">NLP and Machine Learning Graduate</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div class="jobsearch-JobMetadataHeader icl-u-xs-mb--md"><div class="jobsearch-JobMetadataHeader-item "><span class="icl-u-xs-mr--xs">$25 - $40 an hour</span></div></div><p>Mei is a unique messaging app (www.textmei.com) that analyzes text messages and give users intelligence on their texting relationships. We combine data and machine learning to create language processing algorithms that give actionable intelligence to our users.</p><p>Responsibilities and Duties:</p><ul><li>This position is a unique opportunity to gain hands-on experience in natural language processing/understanding and exposure to deep learning and neural networks.</li><li>We are looking for a bright recent graduate who will help develop and refine a wide range of prediction algorithms using python and explore open source tools in natural language processing. You will conduct research and help implement applications that may be incorporated into our app, so a strong programming background is a must.</li><li>This learning opportunity for a recent grad requires you to work in our office in Brooklyn, NY.</li></ul><p>Qualifications and Skills:</p><ul><li>Major or equivalent coursework in computer science, engineering, or NLP</li><li>Programming experience with Python</li><li>Familiarity with SQL</li><li>Good communication and writing skills as you will be working closely within a small team</li><li>Strong research experience</li></ul><p>Preferred (but not required):</p><ul><li>Applied experience using deep learning, Tensorflow</li><li>Experience with Django</li><li>Familiarity with NLP libraries, word embeddings</li><li>Long cover letter is not required, but give us a sense of why you’re interested in NLP/machine learning and what you have already done to demonstrate your interest. Please email this with resume to jobs (at) textmei.com.</li></ul><p>Job Types: Full-time, Flexible Hours</p><p>Salary: $25.00 to $40.00 /hour depending on experience</p><p>Job Type: Full-time</p><p>Salary: $25.00 to $40.00 /hour</p><p>Experience:</p><ul><li>Machine Learning: 1 year (Preferred)</li></ul><p>Location:</p><ul><li>New York, NY (Required)</li></ul><p>Language:</p><ul><li>English (Required)</li></ul><p>Work authorization:</p><ul><li>United States (Required)</li></ul></div> | Natural Language Processing |
| 5 | 29 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">AI Research - Natural Language Processing(NLP) Scientist</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><b>Job Type:</b> Full-time\n<br/><br/>\n<b>Department:</b> AI Platform and Research\n<br/><br/>\nJD AI Research is looking for top-notch research scientists to join Silicon Valley Labs. It's an exciting opportunity to join our early stage team to work on a wide variety of research areas in natural language processing, including natural language understanding, natural language generation, spoken dialog systems, question answering and machine reading comprehension.\n<br/><br/>\n<b>Responsibilities:</b><br/>\n<ul>\n<li>Define ambitious, relevant AI research problems and criteria for evaluating success.</li>\n<li>Build state-of-the-art solutions by designing algorithms and carrying out experiments.</li>\n<li>Work with engineering teams, when appropriate, to get solutions into use.</li>\n<li>Publish in top-notch conferences</li>\n</ul>\n<b>Qualifications:</b><br/>\n<ul>\n<li>Ph.D. or master's degree in computer science, NLP related field.</li>\n<li>Ability to communicate/collaborate with other researchers/engineers including our team members in China (ability to speak Chinese is NOT required)</li>\n<li>Ability to implement experiments using scripting languages (Python, Perl, bash) and tools written in C/C++.</li>\n<li>Experience working with deep learning frameworks (Tensorflow, Pytorch, Torch, Mxnet, CNTK, etc.) and related tools in each special field;</li>\n<li>Publication record in top NLP conferences (ACL, NAACL, EMNLP, NIPS, SIGIR, WWW etc) is a must.</li>\n</ul>\nAbout JD AI Research (JDAIR)\n<br/><br/>\nJD AI Research (JDAIR) focuses on the continuous innovation and optimization of algorithms to meet our developing business needs. Significant areas of research include natural language processing, spoken dialog systems, computer vision, and machine learning (including deep learning and reinforcement learning). JDAIR has established research centers in Beijing and Silicon Valley, and we are in the process of opening an additional research center in Europe.\n<br/><br/>\nJD.com is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.</div> | Natural Language Processing |
| 6 | 37 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Analytical Linguist, Google AI</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><b>Note:</b> By applying to this position your application is automatically submitted to the following locations: Mountain View, CA, USA; New York, NY, USA\n<br/><br/>\n<b>Minimum qualifications:</b><br/>\nPhD or Master’s degree in Linguistics, or Computational Linguistics, with experience in core areas such as semantics, syntax, morphology, phonetics, phonology, and/or discourse.\n<br/><br/>\nExperience with scripting languages working in a Linux environment.\n<br/><br/>\nExperience developing projects or curricula from concept to completion and collaborating internationally with multiple partners on multi-quarter projects.\n<br/><br/>\n<b>Preferred qualifications:</b><br/>\nMultilingual speaker with 2 years experience in NLP research or related fields.\n<br/><br/>\nFamiliarity with experimental design, research methodologies, qualitative and quantitative analysis.\n<br/><br/>\nFamiliarity with Python, C++ or other programming languages.\n<br/><br/>\nIndependent worker with the ability to effectively operate with flexibility in a fast paced, constantly evolving team environment. Team player with exceptional interpersonal and solution-oriented attitude.\n<br/><br/>\nCreative thinker with strong problem solving and analytical skills and excellent written and verbal communication skills.\n<br/>About the job\n<br/>Analytical Linguists work across Google to drive improvements in quality, classification, information structure, and natural language understanding and generation. As an Analytical Linguist you will work both on complex projects spanning multiple products, groups, and disciplines, and on tightly focused efforts to produce specific product components or answer specific research questions. Analytical Linguists work in many different areas and arrive with a wide variety of skills—your specialization might involve natural language processing and understanding, phonology, phonetics, syntax, semantics, ontology, program management, human subject research, experimental design, statistics, corpus linguistics, large scale data acquisition, or any combination. This team is part of some of the most groundbreaking and exciting work at Google. It's our goal to use insights from linguistics and related fields to constantly improve our products.\n<br/>There is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We're constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We're providing users around the world with great search results every day, but at Google, great just isn't good enough. We're just getting started. Responsibilities\n<br/><br/>\nWork closely with researchers and engineers by providing linguistic expertise and direction for language specific projects and/or dialogue analysis/modeling\n<br/><br/>\nTrain and/or evaluate Natural Language Processing (NLP) or dialogue systems and propose solutions\n<br/><br/>\nPropose and run research experiments around linguistic phenomena\n<br/><br/>\nCreate annotation guidelines and instructions; recruit, hire and manage linguistic experts.\n<br/><br/>\nMonitor data acquisition and curation; design quality control methodology, experiments, implementation and improvements\n<br/>At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by emailing candidateaccommodations@google.com .</div> | Natural Language Processing |
| 7 | 38 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">IBM Research AI Residency Program</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><b>Job Description</b><br/>\nIBM Research AI Residency Program:<br/>\n<br/>\nThe IBM Research AI Residency program is a 12-month program that provides opportunity for scientists, engineers, domain experts and entrepreneurs to conduct innovative research and development on important and emerging topics in Artificial Intelligence. The program aims at creating and investigating novel approaches in AI that progress capabilities towards significant technical and real world challenges. AI Residents will work closely with IBM Research scientists and are expected to fully complete a project within the 12-month residency. The results of the project may include publications in top-AI conferences and journals, development of prototypes demonstrating important new AI functionality, and fielding of working AI systems.<br/>\n<br/>\nAs part of the application process, candidates will be asked to submit an 500-word statement of research interest and goals.\n<br/>\n<br/>\nTopics of focus include Deep Learning (Artificial Neural Networks, Transfer Learning, Few-Shot/One-Shot Learning, Neural Architecture Search, Generative methods, Reinforcement Learning), Natural Language Processing and Understanding (Question & Answering, Reading and Listening Comprehension, Dialog), Multi-modal Perception (Vision, Speech, Audio), Knowledge and Reasoning (Knowledge/Graph Embeddings, Neural Reasoning, Learning + Reasoning), Trust in AI (Causal Modeling, Explanability, Fairness, Robustness), and Scaling (Distributed Learning, Mixed Precision Computation, HW Acceleration, AI + Quantum Computing).<br/>\n<br/>\nWhen:<br/>\n<br/>\nStarting dates as early as June 1, 2019 (AI Residencies are 12-months in duration)<br/>\n<br/>\nWhere:<br/>\nIBM T. J. Watson Research Center (Yorktown Heights, NY)<br/>\nIBM Research AI and MIT-IBM Watson AI Lab (Cambridge, MA)<br/>\n<br/>\nDeadline for applying:<br/>\n<br/>\nApplication deadline: March 31, 2019<br/>\n<br/>\n<b>Required Technical and Professional Expertise</b><br/>\n<br/>\n<ul><li>Experience in creating and leveraging AI techniques, such as machine learning, natural language processing, and knowledge and reasoning</li><li>\nExperience with machine learning tools and frameworks, such as Theano, Tensorflow, Caffe, Torch</li><li>\nExpertise and experience in programming in one or more of these languages: Java, Python, C, C++</li><li>\nAdvanced skill level in solving analytical problems using rigorous and quantitative approaches</li></ul><br/>\n<br/>\n<br/>\n<b>Preferred Tech and Prof Experience</b><br/>\n<br/>\n<ul><li>Computer Science, Applied Mathematics or related technical fields</li><li>\nAdvanced skill level in creating and leveraging AI techniques, such as machine learning/deep learning, natural language processing, vision, speech, audio, knowledge and reasoning, causal modeling, explanability, fairness, robustness, distributed learning, and HW acceleration.</li><li>\nExperience communicating your research in technical communities, such as publications in NIPS, CVPR, ICML, ICLR, IJCAI, AAAI, KDD, or similar</li><li>\nExperience analyzing large scale data from a variety of sources</li></ul><br/>\n<br/>\n<br/>\n<b>EO Statement</b><br/>\nIBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.</div></div> | Natural Language Processing |
| 8 | 44 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">AI Research Engineer – Natural Language Processing</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><p><b>Title:</b> AI Engineer – Natural Language Processing</p>\n<p><b>Company</b>: Samsung Research America</p>\n<p><b>Lab</b>: Artificial Intelligence Center</p>\n<p><b>Location</b>: Mountain View, CA</p>\n<p><b>Lab Summary</b>:</p>\n<p>Samsung is working towards a vision of providing world-class AI services on its industry-leading hardware platforms like the Galaxy phones, and home appliances like the smart refrigerators and TVs, smart washers and dryers, etc. Real-time AI services on these connected devices will enable users to interact with devices more naturally via spoken dialog, visual interaction, continuous learning, and big data analysis.</p>\n<p><b>Position Summary</b>:</p>\n<p>We are looking for candidates interested in extending our capabilities on cross-lingual NLP and enabling novel NLP technologies. The ideal candidate will have strong software engineering skills. They should also have background in NLP systems, experience of deep learning, and experience working with massive amounts of data.</p>\n<p><b>Responsibilities Include</b>:</p>\n<p>Develop prototypes and real-world applications and improve the performance with various technologies Integrate the resulting system/software into existing platform with high quality implementation</p>\n<p><b>Experience Requirements</b>:</p>\n<ul><li>Master or Ph.D. in Computer Science or related field</li>\n<li>R&D experience in natural language processing, machine learning and related fields</li>\n<li>R&D experience in information extraction and text mining technologies</li>\n<li>Hands-on experience of deep learning technologies and familiar with state-of-the-art deep learning toolkits (e.g., TensorFlow, PyTorch, Keras, etc)</li>\n<li>Experience in programming languages (C++, Python, Java, etc)</li>\n<li>Strong problem solving skills</li>\n<li>Good communication and team-working skills</li>\n</ul><p><b>Experience Preferred</b>:</p>\n<ul><li>Experience in natural language processing, information extraction, text mining technologies and related fields</li>\n<li>Experience in a front-end language like Elm, JavaScript, Objective-C or Swift</li>\n<li>Experience in at least one front-end web development framework such as React, Angular, Rails, Django, Vue.js</li>\n<li>Experience in HTTP APIs and RESTful web services Understanding of web browser APIs and behavior</li>\n</ul><p>Samsung is an EEO/Veterans/Disabled/LGBT employer. We welcome and encourage diversity as we strive to create an inclusive workplace.</p></div></div> | Natural Language Processing |
| 9 | 45 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Software Engineer: Machine Learning - Natural Language Processing (NLP)</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><div>Minimum Qualifications</div><div><ul><li>\nBA/BS degree in Computer Science or related technical field or equivalent practical experience.</li><li>\n2 years of work or educational experience in Machine Learning or Artificial Intelligence.</li><li>\n1 year of professional software development experience.</li><li>\nExperience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python.</li></ul></div><div>\nPreferred Qualifications</div><div><div><ul><li>\nMS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.</li><li>\nExperience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar.</li></ul></div></div></div><p></p>\n<br/><p>To apply, send your resume to careers@kikatech.com.</p></div> | Natural Language Processing |
In [14]:
X.groupby(X['job_class'])['job_description'].count().sort_values()
Out[14]:
job_class Text Analytics 171 Text Mining 171 Pattern Recognition 321 Natural Language Processing 510 Machine Learning 573 Apache Spark 645 Speech Recognition 648 Neural Networks 662 Name: job_description, dtype: int64
Although we lost a large portion of the dataset due to duplicates, it's important to prioritize quality over quantity. I evaluated the dataset to ensure that there would not be a class imbalance problem. Now, our female-dominated fields comprise 40% of the job descriptions, this is pretty good considering we're working with scraped data. I believe that most of the duplicates can be accounted for because there are many positions that overlap in work (for instance: Machine Learning was common in many of the job descriptions, so the same "machine learning" position could have been in Pattern Recognition, Machine Learning and NLP.) So, we'll proceed with cleaning up the dataset, so we can put it into BoW and Tf-Idf and then run some models on it!
In [15]:
#A quick view of the dataset to see what we might need to clean.
X.head(10)
Out[15]:
| id | title | job_description | job_class | |
|---|---|---|---|---|
| 0 | 17 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Research Scientist - Natural Language Processing</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div></div><div><div><div><b>Conduent is the world's largest provider of diversified business process services with leading capabilities in transaction processing, automation, analytics and constituent experience. We work with both government and commercial customers in assisting them to deliver quality services to the people they serve.\n</b></div><div></div><div><b>We manage interactions with patients and the insured for a significant portion of the U.S. healthcare industry. We are the customer interface for large segments of the technology industry and the operational and processing partner of choice for public transportation systems around the world.\n</b><br/>\n<br/>\n<b>Whether it's digital payments, claims processing, benefit administration, automated tolling, customer care or distributed learning - Conduent manages and modernizes these interactions to create value for both our clients and their constituents. Learn more at </b><b>www.conduent.com </b><b>.\n</b></div><div></div><div><b>Research Scientist - Natural Language Processing for the world's largest provider of diversified BPO services\n</b></div><div></div><div>Wouldn’t it be great to use your Natural Language Processing (NLP) experience to improve the lives of citizens, patients, and employees around the world? At Conduent, we’re building algorithms and tools that do exactly that. If you’re interested in an exciting, innovative position that allows you to leverage these skills, then you’re just the kind of person we’re looking for. Conduent is enhancing its platforms in transportation, healthcare, financial services and customer care with predictive and prescriptive analytics. Because of the broad range of fields we provide services for, you can be assured of not being pigeonholed into a narrow domain and continue to be challenged by applying the latest advances in the field. We work with both government and commercial customers in assisting them to deliver quality services to the people they serve. At Conduent you will use your knowledge and training to take the everyday services that our clients are using and add analytics, automation, intelligence to make these more efficient, more usable, more exciting and more functional.\n</div><div></div><div><b>More About Us:\n</b></div><div>Conduent Labs works closely with Conduent business groups to addresses real world challenges such as the rising cost of healthcare, mobility in urban society and payment card fraud in financial welfare programs. We adopt a multidisciplinary approach that combines techniques from diverse domains such as machine learning, statistical modeling, simulation, optimization and multimedia analysis, and use big data technologies to consolidate and analyze volumes of data from multiple sources in a scalable manner. Our work is guided by insights from ethnographic analysis and deep domain knowledge from both in-house and external experts.\n</div><div></div><div>Fast facts:\n</div><ul><li><div>$6.5B in global business (2017)\n</div></li><li><div>8.9 million people estimated to travel through Conduent–managed toll systems daily.\n</div></li><li><div>Our research team has generated over 700 patents and counting.\n</div></li><li><div>19 of 20 managed U.S. healthcare plans are clients.\n</div></li><li><div>#1 provider of parking solutions in the U.S. with award-winning innovation.\n</div></li><li><div>3 of 5 top U.S. mobile service providers rely on us to deliver customer care.\n</div></li></ul><div></div><div><b>Position Description:\n</b></div><div>The Research Scientist will apply their skills to work at the leading edge of automation in industries such as customer care, healthcare, social media, education, and legal and compliance solutions. Our call centers support a diverse set of clients where automating understanding of the intent, the topics, and the sentiment of the conversation will lead to a better customer experience. In our education services we seek to understand the training needs of our clients and evaluate their effective delivery through free text analysis. Content Moderation is a growing problem and being able to automate the process of determine if text and other content posted to social media violates policies would have great value. The NLP scientist will identify use cases, create demonstrations of capabilities, and identify new opportunities in these and other Conduent businesses.\n</div><div></div><div><b>Responsibilities:\n</b></div><ul><li><div>The Natural Language Processing research scientist will be of the subject matter expert in innovative projects where natural language processing analytics will lead to increased efficiencies in businesses where Conduent operates.\n</div></li><li><div>Apply machine learning and other techniques to design and prototype intelligent, real-world applications that intelligently extract understanding from text and/or audio sources.\n</div></li><li><div>Keep abreast of the latest developments in the field by participating in conferences and other venues and can champion promising, new methods to explore.\n</div></li><li><div>Proactively identify new areas of research and in partnership with business groups develop value-based proposals for investment.\n</div></li><li><div>Work with “Intrapreneurial” business teams to develop and commercialize user-centric, adaptive and robust systems.\n</div></li><li><div>Contribute to the external community through conference participation and journal articles.\n</div></li></ul><div></div><div><b>Qualifications:\n</b></div><ul><li><div>MS with 3+ years of experience or Ph.D. in Computer Science, Computation Linguistics or a related field.\n</div></li><li><div>Experience with the various aspects of Natural Language Processing including named entity recognition, sentiment analysis, content summarization, intent recognition, and experience with an understanding of the algorithms by which these are implemented\n</div></li><li><div>Must be a self-driven problem solver, capable of implementing innovative solutions to problems, performing experiments to show feasibility of their solutions and working to refine the solutions into a real-world context and demonstrated experience of working with teams to solve problems.\n</div></li><li><div>Interdisciplinary skills: big data analytics, modeling and simulation, systems design and prototyping.\n</div></li></ul><div></div><div><b>The ideal candidate will possess …\n</b></div><div>Experience and knowledge in services domains such as business process outsourcing systems, transportation systems, healthcare systems and financial services.<br/>\n</div><div></div><div>Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by clicking on the following link, completing the accommodation request form, and submitting the request by using the "Submit" button at the bottom of the form. For those using Google Chrome or Mozilla Firefox please download the form first: click here to access or download the form .\n</div></div><div></div><div><h2 class="jobSectionHeader"><b>Job\n </b></h2>R&D, Computer Science & Engineering\n</div><div><h2 class="jobSectionHeader"><b>Primary Location\n </b></h2>United States-North Carolina-Morrisville\n</div><div><h2 class="jobSectionHeader"><b>Organization\n </b></h2>ITS\n</div><div><h2 class="jobSectionHeader"><b>Unposting Date\n </b></h2>Ongoing\n</div><div><h2 class="jobSectionHeader"><b>Travel\n </b></h2>No</div></div><div></div></div> | Natural Language Processing |
| 1 | 18 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Natural Language Processing Engineer, New York City</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md">Do you have a passion for the latest advances in Natural Language Processing? Are you looking for an energizing environment to hone your research, system design, and software engineering abilities? Do you want to build products that directly affect users?\n<br/><br/>\nWe are seeking a motivated Natural Language Processing Engineer to join our team. We are an international team of engineers and scientists with offices in New York City and Cairo. We have a diverse set of skills among our talented and professional team members, and we'd like you to contribute your abilities.\n<br/><br/>\nYou would help us improve and scale our state-of-the-art text summarization, document-clustering, and information extraction platform. Here are some examples of projects you may own: using relation extraction to detect discourse structure, tracking topics in hundred-page documents, or producing abstractive summaries for a high throughput of news articles in milliseconds.\n<br/><br/>\n--------------------------\n<br/><br/>\n<b>What you'll do day-to-day:</b><br/>\n--------------------------\n<br/><br/>\n<ul>\n<li>Find solutions to hard NLP tasks by improving upon the latest academic literature, guiding the technical direction of our products</li>\n<li>Prototype and rapidly evaluate creative ideas to gain insight into their strengths and weaknesses</li>\n<li>Plan projects using Agile practices and design experiments using sound scientific methodologies</li>\n<li>Write high-quality code in Python and Java using many open-source frameworks and libraries</li>\n<li>Collaborate with engineers to build high-performance NLP Deep Learning pipelines</li>\n</ul>\n------------------\n<br/><br/>\n<b>What you'll bring:</b><br/>\n------------------\n<br/><br/>\n<ul>\n<li>A track record of results in NLP and Deep Learning, preferably on GitHub</li>\n<li>Your coding skills to produce efficient, maintainable code quickly</li>\n<li>Your capacity to simplify and explain complex technical concepts verbally and in writing</li>\n<li>Your enthusiasm for solving problems with a team of engineers and scientists, as well as individually</li>\n<li>Your ability to adapt to changing requirements and re-prioritize with minimal supervision</li>\n<li>Your interest in publishing academic papers and keeping up to date on ground breaking published work</li>\n</ul>\n</div> | Natural Language Processing |
| 2 | 19 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Research Programmer I - Natural Language Processing</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><p><b>Information Sciences Institute (ISI)</b>, a unit of USC’s Viterbi School of Engineering, is a world leader in the research and development of advanced information processing, computing, and communications technologies. ISI has three research campuses: one in Marina Del Rey, CA; one in Arlington, VA; and one in Waltham, MA.</p><p></p><p><b><i>\nThis position is located in Waltham, MA.</i></b></p><p><br/>\nThe ISI VISTA Center (https://www.isi.edu/centers/vista/overview) seeks applicants for a Research Programmer I position in the field of natural language processing (NLP). VISTA NLP researchers work on grant-funded research in areas such as information extraction, machine translation, and information retrieval. We are a fast-paced, deadline-driven research environment focused on creating robust intelligent systems that succeed when applied to real world problems and data. As an academically situated institute, we encourage development of and contributions to open source projects.</p><p></p><p>\nExamples of current research projects include:</p><ul><li>\nCreation of a new open source information extraction toolkit to enable reasoning and experimentation using multiple document interpretations</li><li>\nAutomatic extraction of causal knowledge from varied information sources such as databases, news articles, reports, etc.</li><li>\nImproving cross-language information retrieval for lower resourced languages by improving machine translation and text search in low data scenarios</li><li>\nApplications of language technology to diverse problems such as detecting cyberattacks, assisting in disaster relief, and providing aids to human reasoning</li></ul><p></p><p>\nSuccessful candidates will have strong programming skills, interest or experience in natural language processing research and machine learning, and be passionate about building NLP systems through innovation and experimentation. Job duties include:</p><ul><li>\nWorking with researchers to design and implement new NLP components and prepare presentations and publications</li><li>\nDeveloping infrastructure for cleaning and processing data and running experiments to evaluate system performance</li><li>\nPerforming error analysis and suggesting and implementing improvements</li><li>\nTransitioning research systems by packaging them as microservices</li><li>\nTesting, debugging, and hardening complex pipelines of NLP components</li></ul><p><br/>\n<b>\nBasic Qualifications</b></p><ul><li>\nMaster’s degree in computer science or a related field</li><li>\nExpertise in Python (preferred) or Java</li></ul><p></p><p><b>\nPreferred Qualifications</b></p><ul><li>\nExperience participating in the research process in an academic setting</li><li>\nExperience applying machine learning to NLP problems</li><li>\nExperience with toolkits such as TensorFlow, PyTorch, or Keras</li></ul><p></p><p><i>\nThe University of Southern California values diversity and is committed to equal opportunity in employment.</i></p><p><br/>\nMinimum Education: Master's degree, Combined work experience and education as equivalent<br/>\n<br/>\nMinimum Experience: 1 year<br/>\n<br/>\nMinimum Field of Expertise: Demonstrated creativity and innovation in solving conceptual programming problems. Competent to work independently on complex programming.</p></div></div> | Natural Language Processing |
| 3 | 20 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Siri - Natural Language Processing Scientist/Engineer</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><div><div><div><p>Summary</p><div><div>\nPosted: <b>Jan 23, 2019</b>\n</div><div>Weekly Hours: <b>40</b>\n</div><div>Role Number: <b>200010533</b></div></div></div><div>\n"People with passion can change the world"\nThe launch of Siri was a defining moment in the history of Artificial Intelligence. Hundreds of millions of people now use Siri to send a message, play their favourite song or even take a selfie. Now imagine what you could do here at Apple? At Apple we're driving a new revolution in the way people and machines interact. We are looking for a creative Senior Applied Scientist to own the development of new algorithms for implementing conversational dialogue with the overall goal of making Siri more intelligent.\nOur team is developing the next generation of human-machine interaction. The team includes renowned academics, top software engineers and experienced machine learning practitioners. If you are interested in combining your NLP expertise with cutting edge machine learning, working alongside top quality software engineers, then come and join us. We are interested in both recent graduates and candidates with a few years experience.\nWe have access to excellent resources including huge compute grids, top-quality machine learning tools, and large quantities of data. We work together to push the boundaries of artificial intelligence with a single aim: to make a real difference to the lives of the hundreds of millions of Siri users.</div></div></div><div><div><div><div><div><div>\nKey Qualifications</div></div></div><div><div><ul><li>\nUnderstanding of standard NLP models and ability to implement them (essential)</li><li>\nSound understanding of the basics of machine learning (essential)</li><li>\nGood software engineering skills (essential)</li><li>\nExperience with large-scale machine-learned systems (desired)</li><li>\nPublications in top-tier NLP and/or machine-learning conferences (desired)</li></ul></div></div></div></div><div><div><div><div><div>\nDescription</div></div></div><div><div>\nWorking as part of an extraordinary team, including world renowned academics, top software engineers and expert machine learning practitioners, we are passionate about applying groundbreaking techniques to conversational dialogue. Siri processes more than a billion requests every week, so you will enjoy implementing machine learning at scale and you'll take on all the complexities involved in taking research work through to production. You will love the state of the art resources at Apple. Huge compute grids, top-quality machine learning tools, and large quantities of data will help you improve user facing features.\nInvestigating new NLP models and prototyping solutions within the Siri system. The job will involve data preparation, engineering NLP machine-learned models at scale and contributing to the reporting of scientific results. The overall goal is to make Siri more intelligent.\nThere are many difficult problems for us to solve, so we're keen to take on new ideas and ways of thinking. If this is you, we'd love to hear from you.</div></div></div></div><div><div><div><div><div>\nEducation & Experience</div></div></div><div><div>\nMSc or PhD in Machine Learning and Statistical Natural Language Processing (or equivalent practical experience)</div></div></div></div></div></div></div> | Natural Language Processing |
| 4 | 21 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">NLP and Machine Learning Graduate</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div class="jobsearch-JobMetadataHeader icl-u-xs-mb--md"><div class="jobsearch-JobMetadataHeader-item "><span class="icl-u-xs-mr--xs">$25 - $40 an hour</span></div></div><p>Mei is a unique messaging app (www.textmei.com) that analyzes text messages and give users intelligence on their texting relationships. We combine data and machine learning to create language processing algorithms that give actionable intelligence to our users.</p><p>Responsibilities and Duties:</p><ul><li>This position is a unique opportunity to gain hands-on experience in natural language processing/understanding and exposure to deep learning and neural networks.</li><li>We are looking for a bright recent graduate who will help develop and refine a wide range of prediction algorithms using python and explore open source tools in natural language processing. You will conduct research and help implement applications that may be incorporated into our app, so a strong programming background is a must.</li><li>This learning opportunity for a recent grad requires you to work in our office in Brooklyn, NY.</li></ul><p>Qualifications and Skills:</p><ul><li>Major or equivalent coursework in computer science, engineering, or NLP</li><li>Programming experience with Python</li><li>Familiarity with SQL</li><li>Good communication and writing skills as you will be working closely within a small team</li><li>Strong research experience</li></ul><p>Preferred (but not required):</p><ul><li>Applied experience using deep learning, Tensorflow</li><li>Experience with Django</li><li>Familiarity with NLP libraries, word embeddings</li><li>Long cover letter is not required, but give us a sense of why you’re interested in NLP/machine learning and what you have already done to demonstrate your interest. Please email this with resume to jobs (at) textmei.com.</li></ul><p>Job Types: Full-time, Flexible Hours</p><p>Salary: $25.00 to $40.00 /hour depending on experience</p><p>Job Type: Full-time</p><p>Salary: $25.00 to $40.00 /hour</p><p>Experience:</p><ul><li>Machine Learning: 1 year (Preferred)</li></ul><p>Location:</p><ul><li>New York, NY (Required)</li></ul><p>Language:</p><ul><li>English (Required)</li></ul><p>Work authorization:</p><ul><li>United States (Required)</li></ul></div> | Natural Language Processing |
| 5 | 29 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">AI Research - Natural Language Processing(NLP) Scientist</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><b>Job Type:</b> Full-time\n<br/><br/>\n<b>Department:</b> AI Platform and Research\n<br/><br/>\nJD AI Research is looking for top-notch research scientists to join Silicon Valley Labs. It's an exciting opportunity to join our early stage team to work on a wide variety of research areas in natural language processing, including natural language understanding, natural language generation, spoken dialog systems, question answering and machine reading comprehension.\n<br/><br/>\n<b>Responsibilities:</b><br/>\n<ul>\n<li>Define ambitious, relevant AI research problems and criteria for evaluating success.</li>\n<li>Build state-of-the-art solutions by designing algorithms and carrying out experiments.</li>\n<li>Work with engineering teams, when appropriate, to get solutions into use.</li>\n<li>Publish in top-notch conferences</li>\n</ul>\n<b>Qualifications:</b><br/>\n<ul>\n<li>Ph.D. or master's degree in computer science, NLP related field.</li>\n<li>Ability to communicate/collaborate with other researchers/engineers including our team members in China (ability to speak Chinese is NOT required)</li>\n<li>Ability to implement experiments using scripting languages (Python, Perl, bash) and tools written in C/C++.</li>\n<li>Experience working with deep learning frameworks (Tensorflow, Pytorch, Torch, Mxnet, CNTK, etc.) and related tools in each special field;</li>\n<li>Publication record in top NLP conferences (ACL, NAACL, EMNLP, NIPS, SIGIR, WWW etc) is a must.</li>\n</ul>\nAbout JD AI Research (JDAIR)\n<br/><br/>\nJD AI Research (JDAIR) focuses on the continuous innovation and optimization of algorithms to meet our developing business needs. Significant areas of research include natural language processing, spoken dialog systems, computer vision, and machine learning (including deep learning and reinforcement learning). JDAIR has established research centers in Beijing and Silicon Valley, and we are in the process of opening an additional research center in Europe.\n<br/><br/>\nJD.com is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.</div> | Natural Language Processing |
| 6 | 37 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Analytical Linguist, Google AI</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><b>Note:</b> By applying to this position your application is automatically submitted to the following locations: Mountain View, CA, USA; New York, NY, USA\n<br/><br/>\n<b>Minimum qualifications:</b><br/>\nPhD or Master’s degree in Linguistics, or Computational Linguistics, with experience in core areas such as semantics, syntax, morphology, phonetics, phonology, and/or discourse.\n<br/><br/>\nExperience with scripting languages working in a Linux environment.\n<br/><br/>\nExperience developing projects or curricula from concept to completion and collaborating internationally with multiple partners on multi-quarter projects.\n<br/><br/>\n<b>Preferred qualifications:</b><br/>\nMultilingual speaker with 2 years experience in NLP research or related fields.\n<br/><br/>\nFamiliarity with experimental design, research methodologies, qualitative and quantitative analysis.\n<br/><br/>\nFamiliarity with Python, C++ or other programming languages.\n<br/><br/>\nIndependent worker with the ability to effectively operate with flexibility in a fast paced, constantly evolving team environment. Team player with exceptional interpersonal and solution-oriented attitude.\n<br/><br/>\nCreative thinker with strong problem solving and analytical skills and excellent written and verbal communication skills.\n<br/>About the job\n<br/>Analytical Linguists work across Google to drive improvements in quality, classification, information structure, and natural language understanding and generation. As an Analytical Linguist you will work both on complex projects spanning multiple products, groups, and disciplines, and on tightly focused efforts to produce specific product components or answer specific research questions. Analytical Linguists work in many different areas and arrive with a wide variety of skills—your specialization might involve natural language processing and understanding, phonology, phonetics, syntax, semantics, ontology, program management, human subject research, experimental design, statistics, corpus linguistics, large scale data acquisition, or any combination. This team is part of some of the most groundbreaking and exciting work at Google. It's our goal to use insights from linguistics and related fields to constantly improve our products.\n<br/>There is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We're constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We're providing users around the world with great search results every day, but at Google, great just isn't good enough. We're just getting started. Responsibilities\n<br/><br/>\nWork closely with researchers and engineers by providing linguistic expertise and direction for language specific projects and/or dialogue analysis/modeling\n<br/><br/>\nTrain and/or evaluate Natural Language Processing (NLP) or dialogue systems and propose solutions\n<br/><br/>\nPropose and run research experiments around linguistic phenomena\n<br/><br/>\nCreate annotation guidelines and instructions; recruit, hire and manage linguistic experts.\n<br/><br/>\nMonitor data acquisition and curation; design quality control methodology, experiments, implementation and improvements\n<br/>At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by emailing candidateaccommodations@google.com .</div> | Natural Language Processing |
| 7 | 38 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">IBM Research AI Residency Program</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><b>Job Description</b><br/>\nIBM Research AI Residency Program:<br/>\n<br/>\nThe IBM Research AI Residency program is a 12-month program that provides opportunity for scientists, engineers, domain experts and entrepreneurs to conduct innovative research and development on important and emerging topics in Artificial Intelligence. The program aims at creating and investigating novel approaches in AI that progress capabilities towards significant technical and real world challenges. AI Residents will work closely with IBM Research scientists and are expected to fully complete a project within the 12-month residency. The results of the project may include publications in top-AI conferences and journals, development of prototypes demonstrating important new AI functionality, and fielding of working AI systems.<br/>\n<br/>\nAs part of the application process, candidates will be asked to submit an 500-word statement of research interest and goals.\n<br/>\n<br/>\nTopics of focus include Deep Learning (Artificial Neural Networks, Transfer Learning, Few-Shot/One-Shot Learning, Neural Architecture Search, Generative methods, Reinforcement Learning), Natural Language Processing and Understanding (Question & Answering, Reading and Listening Comprehension, Dialog), Multi-modal Perception (Vision, Speech, Audio), Knowledge and Reasoning (Knowledge/Graph Embeddings, Neural Reasoning, Learning + Reasoning), Trust in AI (Causal Modeling, Explanability, Fairness, Robustness), and Scaling (Distributed Learning, Mixed Precision Computation, HW Acceleration, AI + Quantum Computing).<br/>\n<br/>\nWhen:<br/>\n<br/>\nStarting dates as early as June 1, 2019 (AI Residencies are 12-months in duration)<br/>\n<br/>\nWhere:<br/>\nIBM T. J. Watson Research Center (Yorktown Heights, NY)<br/>\nIBM Research AI and MIT-IBM Watson AI Lab (Cambridge, MA)<br/>\n<br/>\nDeadline for applying:<br/>\n<br/>\nApplication deadline: March 31, 2019<br/>\n<br/>\n<b>Required Technical and Professional Expertise</b><br/>\n<br/>\n<ul><li>Experience in creating and leveraging AI techniques, such as machine learning, natural language processing, and knowledge and reasoning</li><li>\nExperience with machine learning tools and frameworks, such as Theano, Tensorflow, Caffe, Torch</li><li>\nExpertise and experience in programming in one or more of these languages: Java, Python, C, C++</li><li>\nAdvanced skill level in solving analytical problems using rigorous and quantitative approaches</li></ul><br/>\n<br/>\n<br/>\n<b>Preferred Tech and Prof Experience</b><br/>\n<br/>\n<ul><li>Computer Science, Applied Mathematics or related technical fields</li><li>\nAdvanced skill level in creating and leveraging AI techniques, such as machine learning/deep learning, natural language processing, vision, speech, audio, knowledge and reasoning, causal modeling, explanability, fairness, robustness, distributed learning, and HW acceleration.</li><li>\nExperience communicating your research in technical communities, such as publications in NIPS, CVPR, ICML, ICLR, IJCAI, AAAI, KDD, or similar</li><li>\nExperience analyzing large scale data from a variety of sources</li></ul><br/>\n<br/>\n<br/>\n<b>EO Statement</b><br/>\nIBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.</div></div> | Natural Language Processing |
| 8 | 44 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">AI Research Engineer – Natural Language Processing</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><p><b>Title:</b> AI Engineer – Natural Language Processing</p>\n<p><b>Company</b>: Samsung Research America</p>\n<p><b>Lab</b>: Artificial Intelligence Center</p>\n<p><b>Location</b>: Mountain View, CA</p>\n<p><b>Lab Summary</b>:</p>\n<p>Samsung is working towards a vision of providing world-class AI services on its industry-leading hardware platforms like the Galaxy phones, and home appliances like the smart refrigerators and TVs, smart washers and dryers, etc. Real-time AI services on these connected devices will enable users to interact with devices more naturally via spoken dialog, visual interaction, continuous learning, and big data analysis.</p>\n<p><b>Position Summary</b>:</p>\n<p>We are looking for candidates interested in extending our capabilities on cross-lingual NLP and enabling novel NLP technologies. The ideal candidate will have strong software engineering skills. They should also have background in NLP systems, experience of deep learning, and experience working with massive amounts of data.</p>\n<p><b>Responsibilities Include</b>:</p>\n<p>Develop prototypes and real-world applications and improve the performance with various technologies Integrate the resulting system/software into existing platform with high quality implementation</p>\n<p><b>Experience Requirements</b>:</p>\n<ul><li>Master or Ph.D. in Computer Science or related field</li>\n<li>R&D experience in natural language processing, machine learning and related fields</li>\n<li>R&D experience in information extraction and text mining technologies</li>\n<li>Hands-on experience of deep learning technologies and familiar with state-of-the-art deep learning toolkits (e.g., TensorFlow, PyTorch, Keras, etc)</li>\n<li>Experience in programming languages (C++, Python, Java, etc)</li>\n<li>Strong problem solving skills</li>\n<li>Good communication and team-working skills</li>\n</ul><p><b>Experience Preferred</b>:</p>\n<ul><li>Experience in natural language processing, information extraction, text mining technologies and related fields</li>\n<li>Experience in a front-end language like Elm, JavaScript, Objective-C or Swift</li>\n<li>Experience in at least one front-end web development framework such as React, Angular, Rails, Django, Vue.js</li>\n<li>Experience in HTTP APIs and RESTful web services Understanding of web browser APIs and behavior</li>\n</ul><p>Samsung is an EEO/Veterans/Disabled/LGBT employer. We welcome and encourage diversity as we strive to create an inclusive workplace.</p></div></div> | Natural Language Processing |
| 9 | 45 | <h3 class="icl-u-xs-mb--xs icl-u-xs-mt--none jobsearch-JobInfoHeader-title">Software Engineer: Machine Learning - Natural Language Processing (NLP)</h3> | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><div>Minimum Qualifications</div><div><ul><li>\nBA/BS degree in Computer Science or related technical field or equivalent practical experience.</li><li>\n2 years of work or educational experience in Machine Learning or Artificial Intelligence.</li><li>\n1 year of professional software development experience.</li><li>\nExperience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python.</li></ul></div><div>\nPreferred Qualifications</div><div><div><ul><li>\nMS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.</li><li>\nExperience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar.</li></ul></div></div></div><p></p>\n<br/><p>To apply, send your resume to careers@kikatech.com.</p></div> | Natural Language Processing |
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| id | title | job_description | job_class | |
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| 0 | 17 | Research Scientist - Natural Language Processing | <Conduent is the world's largest provider of diversified business process services with leading capabilities in transaction processing, automation, analytics and constituent experience. We work with both government and commercial customers in assisting them to deliver quality services to the people they serve.\n</b>><div>><div><b>We manage interactions with patients and the insured for a significant portion of the U.S. healthcare industry. We are the customer interface for large segments of the technology industry and the operational and processing partner of choice for public transportation systems around the world.\n</b><br/>\n<br/>\n<b>Whether it's digital payments, claims processing, benefit administration, automated tolling, customer care or distributed learning - Conduent manages and modernizes these interactions to create value for both our clients and their constituents. Learn more at </b><b>www.conduent.com </b><b>.\n</b>><div>><div><b>Research Scientist - Natural Language Processing for the world's largest provider of diversified BPO services\n</b>><div>><div>Wouldn’t it be great to use your Natural Language Processing (NLP) experience to improve the lives of citizens, patients, and employees around the world? At Conduent, we’re building algorithms and tools that do exactly that. If you’re interested in an exciting, innovative position that allows you to leverage these skills, then you’re just the kind of person we’re looking for. Conduent is enhancing its platforms in transportation, healthcare, financial services and customer care with predictive and prescriptive analytics. Because of the broad range of fields we provide services for, you can be assured of not being pigeonholed into a narrow domain and continue to be challenged by applying the latest advances in the field. We work with both government and commercial customers in assisting them to deliver quality services to the people they serve. At Conduent you will use your knowledge and training to take the everyday services that our clients are using and add analytics, automation, intelligence to make these more efficient, more usable, more exciting and more functional.\n><div>><div><b>More About Us:\n</b>><div>Conduent Labs works closely with Conduent business groups to addresses real world challenges such as the rising cost of healthcare, mobility in urban society and payment card fraud in financial welfare programs. We adopt a multidisciplinary approach that combines techniques from diverse domains such as machine learning, statistical modeling, simulation, optimization and multimedia analysis, and use big data technologies to consolidate and analyze volumes of data from multiple sources in a scalable manner. Our work is guided by insights from ethnographic analysis and deep domain knowledge from both in-house and external experts.\n><div>><div>Fast facts:\n><ul><li><div>$6.5B in global business (2017)\n></li><li><div>8.9 million people estimated to travel through Conduent–managed toll systems daily.\n></li><li><div>Our research team has generated over 700 patents and counting.\n></li><li><div>19 of 20 managed U.S. healthcare plans are clients.\n></li><li><div>#1 provider of parking solutions in the U.S. with award-winning innovation.\n></li><li><div>3 of 5 top U.S. mobile service providers rely on us to deliver customer care.\n></li></ul><div>><div><b>Position Description:\n</b>><div>The Research Scientist will apply their skills to work at the leading edge of automation in industries such as customer care, healthcare, social media, education, and legal and compliance solutions. Our call centers support a diverse set of clients where automating understanding of the intent, the topics, and the sentiment of the conversation will lead to a better customer experience. In our education services we seek to understand the training needs of our clients and evaluate their effective delivery through free text analysis. Content Moderation is a growing problem and being able to automate the process of determine if text and other content posted to social media violates policies would have great value. The NLP scientist will identify use cases, create demonstrations of capabilities, and identify new opportunities in these and other Conduent businesses.\n><div>><div><b>Responsibilities:\n</b>><ul><li><div>The Natural Language Processing research scientist will be of the subject matter expert in innovative projects where natural language processing analytics will lead to increased efficiencies in businesses where Conduent operates.\n></li><li><div>Apply machine learning and other techniques to design and prototype intelligent, real-world applications that intelligently extract understanding from text and/or audio sources.\n></li><li><div>Keep abreast of the latest developments in the field by participating in conferences and other venues and can champion promising, new methods to explore.\n></li><li><div>Proactively identify new areas of research and in partnership with business groups develop value-based proposals for investment.\n></li><li><div>Work with “Intrapreneurial” business teams to develop and commercialize user-centric, adaptive and robust systems.\n></li><li><div>Contribute to the external community through conference participation and journal articles.\n></li></ul><div>><div><b>Qualifications:\n</b>><ul><li><div>MS with 3+ years of experience or Ph.D. in Computer Science, Computation Linguistics or a related field.\n></li><li><div>Experience with the various aspects of Natural Language Processing including named entity recognition, sentiment analysis, content summarization, intent recognition, and experience with an understanding of the algorithms by which these are implemented\n></li><li><div>Must be a self-driven problem solver, capable of implementing innovative solutions to problems, performing experiments to show feasibility of their solutions and working to refine the solutions into a real-world context and demonstrated experience of working with teams to solve problems.\n></li><li><div>Interdisciplinary skills: big data analytics, modeling and simulation, systems design and prototyping.\n></li></ul><div>><div><b>The ideal candidate will possess …\n</b>><div>Experience and knowledge in services domains such as business process outsourcing systems, transportation systems, healthcare systems and financial services.<br/>\n><div>><div>Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by clicking on the following link, completing the accommodation request form, and submitting the request by using the "Submit" button at the bottom of the form. For those using Google Chrome or Mozilla Firefox please download the form first: click here to access or download the form .\n>><div>><div><h2 class="jobSectionHeader"><b>Job\n </b></h2>R&D, Computer Science & Engineering\n><div><h2 class="jobSectionHeader"><b>Primary Location\n </b></h2>United States-North Carolina-Morrisville\n><div><h2 class="jobSectionHeader"><b>Organization\n </b></h2>ITS\n><div><h2 class="jobSectionHeader"><b>Unposting Date\n </b></h2>Ongoing\n><div><h2 class="jobSectionHeader"><b>Travel\n </b></h2>No>><div>>> | Natural Language Processing |
| 1 | 18 | Natural Language Processing Engineer, New York City | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md">Do you have a passion for the latest advances in Natural Language Processing? Are you looking for an energizing environment to hone your research, system design, and software engineering abilities? Do you want to build products that directly affect users?\n<br/><br/>\nWe are seeking a motivated Natural Language Processing Engineer to join our team. We are an international team of engineers and scientists with offices in New York City and Cairo. We have a diverse set of skills among our talented and professional team members, and we'd like you to contribute your abilities.\n<br/><br/>\nYou would help us improve and scale our state-of-the-art text summarization, document-clustering, and information extraction platform. Here are some examples of projects you may own: using relation extraction to detect discourse structure, tracking topics in hundred-page documents, or producing abstractive summaries for a high throughput of news articles in milliseconds.\n<br/><br/>\n--------------------------\n<br/><br/>\n<b>What you'll do day-to-day:</b><br/>\n--------------------------\n<br/><br/>\n<ul>\n<li>Find solutions to hard NLP tasks by improving upon the latest academic literature, guiding the technical direction of our products</li>\n<li>Prototype and rapidly evaluate creative ideas to gain insight into their strengths and weaknesses</li>\n<li>Plan projects using Agile practices and design experiments using sound scientific methodologies</li>\n<li>Write high-quality code in Python and Java using many open-source frameworks and libraries</li>\n<li>Collaborate with engineers to build high-performance NLP Deep Learning pipelines</li>\n</ul>\n------------------\n<br/><br/>\n<b>What you'll bring:</b><br/>\n------------------\n<br/><br/>\n<ul>\n<li>A track record of results in NLP and Deep Learning, preferably on GitHub</li>\n<li>Your coding skills to produce efficient, maintainable code quickly</li>\n<li>Your capacity to simplify and explain complex technical concepts verbally and in writing</li>\n<li>Your enthusiasm for solving problems with a team of engineers and scientists, as well as individually</li>\n<li>Your ability to adapt to changing requirements and re-prioritize with minimal supervision</li>\n<li>Your interest in publishing academic papers and keeping up to date on ground breaking published work</li>\n</ul>\n> | Natural Language Processing |
| 2 | 19 | Research Programmer I - Natural Language Processing | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><p><b>Information Sciences Institute (ISI)</b>, a unit of USC’s Viterbi School of Engineering, is a world leader in the research and development of advanced information processing, computing, and communications technologies. ISI has three research campuses: one in Marina Del Rey, CA; one in Arlington, VA; and one in Waltham, MA.</p><p></p><p><b><i>\nThis position is located in Waltham, MA.</i></b></p><p><br/>\nThe ISI VISTA Center (https://www.isi.edu/centers/vista/overview) seeks applicants for a Research Programmer I position in the field of natural language processing (NLP). VISTA NLP researchers work on grant-funded research in areas such as information extraction, machine translation, and information retrieval. We are a fast-paced, deadline-driven research environment focused on creating robust intelligent systems that succeed when applied to real world problems and data. As an academically situated institute, we encourage development of and contributions to open source projects.</p><p></p><p>\nExamples of current research projects include:</p><ul><li>\nCreation of a new open source information extraction toolkit to enable reasoning and experimentation using multiple document interpretations</li><li>\nAutomatic extraction of causal knowledge from varied information sources such as databases, news articles, reports, etc.</li><li>\nImproving cross-language information retrieval for lower resourced languages by improving machine translation and text search in low data scenarios</li><li>\nApplications of language technology to diverse problems such as detecting cyberattacks, assisting in disaster relief, and providing aids to human reasoning</li></ul><p></p><p>\nSuccessful candidates will have strong programming skills, interest or experience in natural language processing research and machine learning, and be passionate about building NLP systems through innovation and experimentation. Job duties include:</p><ul><li>\nWorking with researchers to design and implement new NLP components and prepare presentations and publications</li><li>\nDeveloping infrastructure for cleaning and processing data and running experiments to evaluate system performance</li><li>\nPerforming error analysis and suggesting and implementing improvements</li><li>\nTransitioning research systems by packaging them as microservices</li><li>\nTesting, debugging, and hardening complex pipelines of NLP components</li></ul><p><br/>\n<b>\nBasic Qualifications</b></p><ul><li>\nMaster’s degree in computer science or a related field</li><li>\nExpertise in Python (preferred) or Java</li></ul><p></p><p><b>\nPreferred Qualifications</b></p><ul><li>\nExperience participating in the research process in an academic setting</li><li>\nExperience applying machine learning to NLP problems</li><li>\nExperience with toolkits such as TensorFlow, PyTorch, or Keras</li></ul><p></p><p><i>\nThe University of Southern California values diversity and is committed to equal opportunity in employment.</i></p><p><br/>\nMinimum Education: Master's degree, Combined work experience and education as equivalent<br/>\n<br/>\nMinimum Experience: 1 year<br/>\n<br/>\nMinimum Field of Expertise: Demonstrated creativity and innovation in solving conceptual programming problems. Competent to work independently on complex programming.</p>>> | Natural Language Processing |
| 3 | 20 | Siri - Natural Language Processing Scientist/Engineer | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><div><div><div><p>Summary</p><div><div>\nPosted: <b>Jan 23, 2019</b>\n><div>Weekly Hours: <b>40</b>\n><div>Role Number: <b>200010533</b>>>><div>\n"People with passion can change the world"\nThe launch of Siri was a defining moment in the history of Artificial Intelligence. Hundreds of millions of people now use Siri to send a message, play their favourite song or even take a selfie. Now imagine what you could do here at Apple? At Apple we're driving a new revolution in the way people and machines interact. We are looking for a creative Senior Applied Scientist to own the development of new algorithms for implementing conversational dialogue with the overall goal of making Siri more intelligent.\nOur team is developing the next generation of human-machine interaction. The team includes renowned academics, top software engineers and experienced machine learning practitioners. If you are interested in combining your NLP expertise with cutting edge machine learning, working alongside top quality software engineers, then come and join us. We are interested in both recent graduates and candidates with a few years experience.\nWe have access to excellent resources including huge compute grids, top-quality machine learning tools, and large quantities of data. We work together to push the boundaries of artificial intelligence with a single aim: to make a real difference to the lives of the hundreds of millions of Siri users.>>><div><div><div><div><div><div>\nKey Qualifications>>><div><div><ul><li>\nUnderstanding of standard NLP models and ability to implement them (essential)</li><li>\nSound understanding of the basics of machine learning (essential)</li><li>\nGood software engineering skills (essential)</li><li>\nExperience with large-scale machine-learned systems (desired)</li><li>\nPublications in top-tier NLP and/or machine-learning conferences (desired)</li></ul>>>>><div><div><div><div><div>\nDescription>>><div><div>\nWorking as part of an extraordinary team, including world renowned academics, top software engineers and expert machine learning practitioners, we are passionate about applying groundbreaking techniques to conversational dialogue. Siri processes more than a billion requests every week, so you will enjoy implementing machine learning at scale and you'll take on all the complexities involved in taking research work through to production. You will love the state of the art resources at Apple. Huge compute grids, top-quality machine learning tools, and large quantities of data will help you improve user facing features.\nInvestigating new NLP models and prototyping solutions within the Siri system. The job will involve data preparation, engineering NLP machine-learned models at scale and contributing to the reporting of scientific results. The overall goal is to make Siri more intelligent.\nThere are many difficult problems for us to solve, so we're keen to take on new ideas and ways of thinking. If this is you, we'd love to hear from you.>>>><div><div><div><div><div>\nEducation & Experience>>><div><div>\nMSc or PhD in Machine Learning and Statistical Natural Language Processing (or equivalent practical experience)>>>>>>> | Natural Language Processing |
| 4 | 21 | NLP and Machine Learning Graduate | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div class="jobsearch-JobMetadataHeader icl-u-xs-mb--md"><div class="jobsearch-JobMetadataHeader-item "><span class="icl-u-xs-mr--xs">$25 - $40 an hour</span>>><p>Mei is a unique messaging app (www.textmei.com) that analyzes text messages and give users intelligence on their texting relationships. We combine data and machine learning to create language processing algorithms that give actionable intelligence to our users.</p><p>Responsibilities and Duties:</p><ul><li>This position is a unique opportunity to gain hands-on experience in natural language processing/understanding and exposure to deep learning and neural networks.</li><li>We are looking for a bright recent graduate who will help develop and refine a wide range of prediction algorithms using python and explore open source tools in natural language processing. You will conduct research and help implement applications that may be incorporated into our app, so a strong programming background is a must.</li><li>This learning opportunity for a recent grad requires you to work in our office in Brooklyn, NY.</li></ul><p>Qualifications and Skills:</p><ul><li>Major or equivalent coursework in computer science, engineering, or NLP</li><li>Programming experience with Python</li><li>Familiarity with SQL</li><li>Good communication and writing skills as you will be working closely within a small team</li><li>Strong research experience</li></ul><p>Preferred (but not required):</p><ul><li>Applied experience using deep learning, Tensorflow</li><li>Experience with Django</li><li>Familiarity with NLP libraries, word embeddings</li><li>Long cover letter is not required, but give us a sense of why you’re interested in NLP/machine learning and what you have already done to demonstrate your interest. Please email this with resume to jobs (at) textmei.com.</li></ul><p>Job Types: Full-time, Flexible Hours</p><p>Salary: $25.00 to $40.00 /hour depending on experience</p><p>Job Type: Full-time</p><p>Salary: $25.00 to $40.00 /hour</p><p>Experience:</p><ul><li>Machine Learning: 1 year (Preferred)</li></ul><p>Location:</p><ul><li>New York, NY (Required)</li></ul><p>Language:</p><ul><li>English (Required)</li></ul><p>Work authorization:</p><ul><li>United States (Required)</li></ul>> | Natural Language Processing |
| 5 | 29 | AI Research - Natural Language Processing(NLP) Scientist | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><b>Job Type:</b> Full-time\n<br/><br/>\n<b>Department:</b> AI Platform and Research\n<br/><br/>\nJD AI Research is looking for top-notch research scientists to join Silicon Valley Labs. It's an exciting opportunity to join our early stage team to work on a wide variety of research areas in natural language processing, including natural language understanding, natural language generation, spoken dialog systems, question answering and machine reading comprehension.\n<br/><br/>\n<b>Responsibilities:</b><br/>\n<ul>\n<li>Define ambitious, relevant AI research problems and criteria for evaluating success.</li>\n<li>Build state-of-the-art solutions by designing algorithms and carrying out experiments.</li>\n<li>Work with engineering teams, when appropriate, to get solutions into use.</li>\n<li>Publish in top-notch conferences</li>\n</ul>\n<b>Qualifications:</b><br/>\n<ul>\n<li>Ph.D. or master's degree in computer science, NLP related field.</li>\n<li>Ability to communicate/collaborate with other researchers/engineers including our team members in China (ability to speak Chinese is NOT required)</li>\n<li>Ability to implement experiments using scripting languages (Python, Perl, bash) and tools written in C/C++.</li>\n<li>Experience working with deep learning frameworks (Tensorflow, Pytorch, Torch, Mxnet, CNTK, etc.) and related tools in each special field;</li>\n<li>Publication record in top NLP conferences (ACL, NAACL, EMNLP, NIPS, SIGIR, WWW etc) is a must.</li>\n</ul>\nAbout JD AI Research (JDAIR)\n<br/><br/>\nJD AI Research (JDAIR) focuses on the continuous innovation and optimization of algorithms to meet our developing business needs. Significant areas of research include natural language processing, spoken dialog systems, computer vision, and machine learning (including deep learning and reinforcement learning). JDAIR has established research centers in Beijing and Silicon Valley, and we are in the process of opening an additional research center in Europe.\n<br/><br/>\nJD.com is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.> | Natural Language Processing |
| 6 | 37 | Analytical Linguist, Google AI | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><b>Note:</b> By applying to this position your application is automatically submitted to the following locations: Mountain View, CA, USA; New York, NY, USA\n<br/><br/>\n<b>Minimum qualifications:</b><br/>\nPhD or Master’s degree in Linguistics, or Computational Linguistics, with experience in core areas such as semantics, syntax, morphology, phonetics, phonology, and/or discourse.\n<br/><br/>\nExperience with scripting languages working in a Linux environment.\n<br/><br/>\nExperience developing projects or curricula from concept to completion and collaborating internationally with multiple partners on multi-quarter projects.\n<br/><br/>\n<b>Preferred qualifications:</b><br/>\nMultilingual speaker with 2 years experience in NLP research or related fields.\n<br/><br/>\nFamiliarity with experimental design, research methodologies, qualitative and quantitative analysis.\n<br/><br/>\nFamiliarity with Python, C++ or other programming languages.\n<br/><br/>\nIndependent worker with the ability to effectively operate with flexibility in a fast paced, constantly evolving team environment. Team player with exceptional interpersonal and solution-oriented attitude.\n<br/><br/>\nCreative thinker with strong problem solving and analytical skills and excellent written and verbal communication skills.\n<br/>About the job\n<br/>Analytical Linguists work across Google to drive improvements in quality, classification, information structure, and natural language understanding and generation. As an Analytical Linguist you will work both on complex projects spanning multiple products, groups, and disciplines, and on tightly focused efforts to produce specific product components or answer specific research questions. Analytical Linguists work in many different areas and arrive with a wide variety of skills—your specialization might involve natural language processing and understanding, phonology, phonetics, syntax, semantics, ontology, program management, human subject research, experimental design, statistics, corpus linguistics, large scale data acquisition, or any combination. This team is part of some of the most groundbreaking and exciting work at Google. It's our goal to use insights from linguistics and related fields to constantly improve our products.\n<br/>There is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We're constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We're providing users around the world with great search results every day, but at Google, great just isn't good enough. We're just getting started. Responsibilities\n<br/><br/>\nWork closely with researchers and engineers by providing linguistic expertise and direction for language specific projects and/or dialogue analysis/modeling\n<br/><br/>\nTrain and/or evaluate Natural Language Processing (NLP) or dialogue systems and propose solutions\n<br/><br/>\nPropose and run research experiments around linguistic phenomena\n<br/><br/>\nCreate annotation guidelines and instructions; recruit, hire and manage linguistic experts.\n<br/><br/>\nMonitor data acquisition and curation; design quality control methodology, experiments, implementation and improvements\n<br/>At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by emailing candidateaccommodations@google.com .> | Natural Language Processing |
| 7 | 38 | IBM Research AI Residency Program | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><b>Job Description</b><br/>\nIBM Research AI Residency Program:<br/>\n<br/>\nThe IBM Research AI Residency program is a 12-month program that provides opportunity for scientists, engineers, domain experts and entrepreneurs to conduct innovative research and development on important and emerging topics in Artificial Intelligence. The program aims at creating and investigating novel approaches in AI that progress capabilities towards significant technical and real world challenges. AI Residents will work closely with IBM Research scientists and are expected to fully complete a project within the 12-month residency. The results of the project may include publications in top-AI conferences and journals, development of prototypes demonstrating important new AI functionality, and fielding of working AI systems.<br/>\n<br/>\nAs part of the application process, candidates will be asked to submit an 500-word statement of research interest and goals.\n<br/>\n<br/>\nTopics of focus include Deep Learning (Artificial Neural Networks, Transfer Learning, Few-Shot/One-Shot Learning, Neural Architecture Search, Generative methods, Reinforcement Learning), Natural Language Processing and Understanding (Question & Answering, Reading and Listening Comprehension, Dialog), Multi-modal Perception (Vision, Speech, Audio), Knowledge and Reasoning (Knowledge/Graph Embeddings, Neural Reasoning, Learning + Reasoning), Trust in AI (Causal Modeling, Explanability, Fairness, Robustness), and Scaling (Distributed Learning, Mixed Precision Computation, HW Acceleration, AI + Quantum Computing).<br/>\n<br/>\nWhen:<br/>\n<br/>\nStarting dates as early as June 1, 2019 (AI Residencies are 12-months in duration)<br/>\n<br/>\nWhere:<br/>\nIBM T. J. Watson Research Center (Yorktown Heights, NY)<br/>\nIBM Research AI and MIT-IBM Watson AI Lab (Cambridge, MA)<br/>\n<br/>\nDeadline for applying:<br/>\n<br/>\nApplication deadline: March 31, 2019<br/>\n<br/>\n<b>Required Technical and Professional Expertise</b><br/>\n<br/>\n<ul><li>Experience in creating and leveraging AI techniques, such as machine learning, natural language processing, and knowledge and reasoning</li><li>\nExperience with machine learning tools and frameworks, such as Theano, Tensorflow, Caffe, Torch</li><li>\nExpertise and experience in programming in one or more of these languages: Java, Python, C, C++</li><li>\nAdvanced skill level in solving analytical problems using rigorous and quantitative approaches</li></ul><br/>\n<br/>\n<br/>\n<b>Preferred Tech and Prof Experience</b><br/>\n<br/>\n<ul><li>Computer Science, Applied Mathematics or related technical fields</li><li>\nAdvanced skill level in creating and leveraging AI techniques, such as machine learning/deep learning, natural language processing, vision, speech, audio, knowledge and reasoning, causal modeling, explanability, fairness, robustness, distributed learning, and HW acceleration.</li><li>\nExperience communicating your research in technical communities, such as publications in NIPS, CVPR, ICML, ICLR, IJCAI, AAAI, KDD, or similar</li><li>\nExperience analyzing large scale data from a variety of sources</li></ul><br/>\n<br/>\n<br/>\n<b>EO Statement</b><br/>\nIBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.>> | Natural Language Processing |
| 8 | 44 | AI Research Engineer – Natural Language Processing | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><p><b>Title:</b> AI Engineer – Natural Language Processing</p>\n<p><b>Company</b>: Samsung Research America</p>\n<p><b>Lab</b>: Artificial Intelligence Center</p>\n<p><b>Location</b>: Mountain View, CA</p>\n<p><b>Lab Summary</b>:</p>\n<p>Samsung is working towards a vision of providing world-class AI services on its industry-leading hardware platforms like the Galaxy phones, and home appliances like the smart refrigerators and TVs, smart washers and dryers, etc. Real-time AI services on these connected devices will enable users to interact with devices more naturally via spoken dialog, visual interaction, continuous learning, and big data analysis.</p>\n<p><b>Position Summary</b>:</p>\n<p>We are looking for candidates interested in extending our capabilities on cross-lingual NLP and enabling novel NLP technologies. The ideal candidate will have strong software engineering skills. They should also have background in NLP systems, experience of deep learning, and experience working with massive amounts of data.</p>\n<p><b>Responsibilities Include</b>:</p>\n<p>Develop prototypes and real-world applications and improve the performance with various technologies Integrate the resulting system/software into existing platform with high quality implementation</p>\n<p><b>Experience Requirements</b>:</p>\n<ul><li>Master or Ph.D. in Computer Science or related field</li>\n<li>R&D experience in natural language processing, machine learning and related fields</li>\n<li>R&D experience in information extraction and text mining technologies</li>\n<li>Hands-on experience of deep learning technologies and familiar with state-of-the-art deep learning toolkits (e.g., TensorFlow, PyTorch, Keras, etc)</li>\n<li>Experience in programming languages (C++, Python, Java, etc)</li>\n<li>Strong problem solving skills</li>\n<li>Good communication and team-working skills</li>\n</ul><p><b>Experience Preferred</b>:</p>\n<ul><li>Experience in natural language processing, information extraction, text mining technologies and related fields</li>\n<li>Experience in a front-end language like Elm, JavaScript, Objective-C or Swift</li>\n<li>Experience in at least one front-end web development framework such as React, Angular, Rails, Django, Vue.js</li>\n<li>Experience in HTTP APIs and RESTful web services Understanding of web browser APIs and behavior</li>\n</ul><p>Samsung is an EEO/Veterans/Disabled/LGBT employer. We welcome and encourage diversity as we strive to create an inclusive workplace.</p>>> | Natural Language Processing |
| 9 | 45 | Software Engineer: Machine Learning - Natural Language Processing (NLP) | <div class="jobsearch-JobComponent-description icl-u-xs-mt--md"><div><div>Minimum Qualifications><div><ul><li>\nBA/BS degree in Computer Science or related technical field or equivalent practical experience.</li><li>\n2 years of work or educational experience in Machine Learning or Artificial Intelligence.</li><li>\n1 year of professional software development experience.</li><li>\nExperience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python.</li></ul>><div>\nPreferred Qualifications><div><div><ul><li>\nMS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.</li><li>\nExperience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar.</li></ul>>>><p></p>\n<br/><p>To apply, send your resume to careers@kikatech.com.</p>> | Natural Language Processing |
Much better, our job titles look really nice at this point. Onward!
In [19]:
X['job_description'] = X['job_description'].replace(r'<div class="jobsearch-JobComponent-description icl-u-xs-mt--md">', '', regex=True)
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X.sample(10)
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| id | title | job_description | job_class | |
|---|---|---|---|---|
| 3160 | 7234 | Computer Vision Product Architect – Analytics Team | <div><div><div><div><div>In-Q-Tel, Inc. (IQT) is an independent, not-for-profit organization established to accelerate the introduction of cutting-edge technologies that contribute to national security. We invest in venture-backed startup companies developing unique capabilities providing ready-soon innovation to our customers. The Analytics Team acts as the technical lead for IQT’s investments in Artificial Intelligence, Machine Learning, Data Science, and related areas. We’re looking for a standout performer to augment our team’s deep technical expertise, with a specific focus on Computer Vision. You’ll work closely with IQT’s government partners to understand their technology gaps and use your knowledge to architect innovative solutions from the world’s leading technology startup companies.><div>><br/>\n<div>\nAs a member of the technical staff at IQT, you’ll enjoy unparalleled access and visibility into a broad cross-section of the national security community, working directly with U.S. government customers at all levels, from intel analysts to agency directors. Each year, IQT evaluates hundreds of new companies, performing a rigorous technical assessment of their products against our partners’ needs and making dozens of strategic investments to adapt the most promising commercial technologies.><div>><br/>\n<div>\nIf this unique vantage point into the inner workings of both the national security community and the venture-backed startup community sounds interesting to you, then IQT is the place to be. If you dream of starting your own company, building a technology group for a large enterprise, or joining one of our customer organizations, this experience can help you get there. You’ll develop an extensive personal network of close, professional relationships with many of the brightest minds in industry, startups, venture capital, academia, and government. You’ll also join a close-knit team of senior technologists who are always hungry to learn and eager to share their knowledge with others. What can we learn from you? What can you learn from us?>\n>>><h2 class="jobSectionHeader"><b>Responsibilities\n</b></h2><div><div><div><ul><li>Orchestrate all technical aspects of multiple investments each year in companies like Databricks, DataRobot, Kensho, Nervana Systems, and Orbital Insight.</li><li>\nMaintain your expertise and stay on top of emerging trends in the technology landscape, helping us explore new investment opportunities and source new deals.</li><li>\nDevelop strategies, architectures, technology briefings, deep market research, and other informational products that enhance our customers’ situational awareness.</li><li>\nFormulate technical investment theses to scope out emerging areas of innovation, connect them with anticipated capability gaps, and efficiently communicate a plan to address specific needs as seen through a customer lens.</li><li>\nLead the technical diligence on potential investments, including a thorough vetting of each company’s engineering team and the products they’re developing. You’ll need to be able to recognize when a company’s solution is unlikely to pan out and articulate why.</li><li>\nSkillfully design development agreements to modify, adapt, or enhance commercial technology products, carefully balancing IQT customer requirements with the developer’s commercial strategies.</li><li>\nAdeptly negotiate the specifications, deliverables, acceptance criteria, payments, and other terms for multiple strategic investments each year.</li><li>\nBe a trusted advisor to a large and growing portfolio of early-stage, venture-backed startup companies, helping to shape their commercial roadmap and product development, as well as guiding the delivery of their capabilities to IQT customers.</li></ul>\n>>><h2 class="jobSectionHeader"><b>Qualifications\n</b></h2><div><div><div><ul><li>Demonstrable expertise in Computer Vision and one or more application areas, such as image/video analysis, facial recognition, object detection, remote sensing, hyperspectral imaging, machine vision, autonomous vehicle navigation, or VSLAM.</li><li>\nSolid theoretical knowledge of artificial intelligence, machine learning, deep learning, neural networks, and evaluation methodologies.</li><li>\nExtensive practical knowledge of popular software packages like TensorFlow and PyTorch, data collection and annotation techniques, relevant hardware and cloud platforms, best practices for modern software development, and product management.</li><li>\nExceptional writing and public speaking skills, and the ability to communicate effectively with both technical and non-technical audiences. Experience in consulting or solutions engineering is a bonus.</li><li>\nAn awareness of and an appreciation for market dynamics, especially how they influence the development of a startup company and affect the viability of a commercial product. Startup or entrepreneurial experience is a bonus.</li><li>\nMixing technical depth with the ability to conceive and achieve a bold product vision, inspiring customers, companies, and other investors to work together for a common goal.</li><li>\nAbsorb knowledge quickly and build well-formed opinions based on your understanding of technology trends, customer needs, and the art of the possible. Open to taking a risk or questioning the status quo, while caring about making the right choices. You want to be the kind of person that people want to know and trust, so they will always want to hear what you have to say.</li><li>\nAn advanced degree in Computer Science or a closely related field, and/or meaningful professional experience developing Computer Vision applications in production.</li><li>\nEnthusiasm and passion for serving the national security mission.</li><li>\nMust meet eligibility requirements for access to classified information.</li></ul>>>>>> | Neural Networks |
| 1783 | 5020 | Scrum Master | <div><p>As <b>Scrum Master</b> / Agile Lead, you will manage Agile-focused engineering development of Fractal technology and products. You’ll be working closely with the Product Manager and Engineer Lead, facilitating the Sprint process from beginning to end, ensuring the accurate and timely completion of product requirements. In addition, you’ll drive the team’s education in best practices of Agile development through a variety of methods meant to provide positive impact across the team. You should have a strong Project Management and/or Scrum Master background and want to be an active member of the team, not just someone who enforces Agile methodology. A background in working with online products and Software as a Service (SaaS) is strongly preferred, and the ability to handle the challenges faced by startups is key. Along with the Product and Engineering leads, you’ll be part of the 3-person leadership team who will bring cutting edge and sometimes complex products to market, then identifying ways to evolve these products over time. You’ll work closely with your leadership colleagues to ensure roadmaps are built using reality as the driving force, not smoke and mirrors or unjustified optimism.</p><p>\nWe are hiring for these three positions:</p><ul><li>\nScrum Master / Agile Lead for Fractal OS which will become the primary interface for all our products.</li><li>\nScrum Master / Agile Lead for Data Management technology. The Data Management team is not only creating technology to manage Data, we’re working to figure out all the signals the Data is providing. Product evolution could include providing technology to allow customers to manage their own data, as well as creating data sets that Fractal could sell as highly scrubbed data solutions.</li><li>\nScrum Master / Agile Lead for Data Models & Orchestration. The Data Models & Orchestration team is responsible for a host of very complex technical products, such as: a time series database, a graph database, Spark services, various transformer services and more.</li></ul><p><b>\nResponsibilities</b></p><ul><li>\nLead diverse software development teams to on-time fulfillment of applications and services in a hybrid public-private cloud/computing environment</li><li>\nFacilitate the development and delivery of Fractal products between Product and Engineering teams that drive market leading features into our customers hands</li><li>\nAct as a liaison for your team throughout the Fractal organization</li><li>\nProvide day-to-day oversight of the product roadmap to ensure that timelines are met, tasks are prioritized appropriately, there is clear definition of scope and the team isn’t over-committing</li><li>\nEnsure teams have appropriate direction and priority at all times to remain on track to reach internal and customer commitments and deadlines</li><li>\nWork with Product and Engineering to ensure the right level of understanding and the right culture/process exists to take high level concepts and feature ideas and help break them down into stories and sub-tasks</li><li>\nTrack and report status of all projects you own during our weekly updates. In identifying areas where any risk may exist, proactively build, communicate and lead recovery actions</li><li>\nParticipate in “scrum-of-scrum” meetings and assist in ongoing coordination of corporate wide roadmaps to ensure alignment between teams across the organization</li><li>\nManage the delivery of software enhancements and fixes per release schedules using Agile development methodologies</li><li>\nHelp to shape and improve the product roadmap by consolidating and communicating feedback captured during the execution and retrospective analysis of sprints and strategy meetings</li><li>\nWork with Product and Sales team to understand customer engagement needs and ensure product readiness is in alignment with roadmap commitments and the teams ability to deliver</li><li>\nWork with Software Development leadership and teams to ensure technical requirements for engagement can be met on schedule; if necessary, identify and plan for any customer specific engineering requirements with Product</li><li>\nFollow customer integration needs, update implementation plans and report customer satisfaction outcomes internally to cross-functional teams</li><li>\nEnsure that all product milestones are tracking to schedule and communicate effectively to Product and or cross-functional teams whenever obstacles to meeting customer expectations surface</li></ul><p><b>\nQualifications</b></p><ul><li>\nReside in the greater Washington D.C. area or be able to relocate</li><li>\nBachelor's degree or related experience</li><li>\nAbility to support regular travel (<20%)</li><li>\nScrum Master certification (CSM) PMP-ACP or CSP certification preferred</li><li>\n2+ years of experience as a full-time Scrum Master</li><li>\nExpertise in diligently applying Agile principles, practices, and theory (User Stories, Story Pointing, Velocity, Burndown Metrics, Agile Games, Tasking, Retrospectives, Cycle Time, Throughput, Work in Progress levels, Product Demos)</li><li>\nExperience working with online products and Software as a Service (SaaS) in particular</li><li>\nExperience working with different Agile approaches (Scrum, Lean, XP, Kanban, etc.) is preferred</li><li>\nHands on experience with Agile ALM tools like Atlassian Jira with knowledge of other tools such as Aha!, Wrike, or ProductPlan is a plus</li><li>\nGood skills and knowledge of servant leadership, facilitation, situational awareness, conflict resolution, continual improvement, empowerment, influence and transparency</li><li>\nExceptional verbal, written and communication skills</li><li>\nDetail-oriented and ability to understand and communicate technical information</li><li>\nStrong presentation skills</li><li>\nHighly organized and able to multi-task</li></ul><p><b>\nDesirable</b></p><ul><li>\nAgile or Project Management certification (PSM I, PSM II, SAFe)</li><li>\nExtensive experience with Atlassian products</li><li>\nUnderstanding of DevOps tools and CI/CD processes</li><li>\nExperience and interest in large-scale distributed systems</li><li>\nInterest in with Apache Spark, Apache Pig, AWS Pipelines, Google Dataflow, or MapReduce</li></ul><p><b>\nFractal Valued Behaviors</b></p><ul><li>\nHigh energy with a positive attitude</li><li>\nEager and willingness to learn</li><li>\nStrong problem solving and analytical analysis skills</li><li>\nOperate with high integrity and respect</li><li>\nEnjoys and is willing to contribute to a collaborate environment</li></ul><p><b>\nAbout Fractal</b></p><p>\nFractal Industries applies artificial intelligence to solve complex, real-world problems at scale. Our Human+AI operating system, Fractal | OS™, blends capabilities ranging from data handling, analytics, and reporting to advanced algorithms, simulations, and machine learning, enabling decisions that are just-in-time, just-in-place, and just-in-context. If this type of environment sounds exciting reach out to us directly via application at https://www.fractalindustries.com/careers with a resume and cover letter.</p><p>\nFractal Industries offers a competitive salary, incentive stock options, a full range of benefits starting day one, including 401(k) and medical, dental & vision coverage, flexible “Personal Time Off (PTO)” plan and 10+ paid holiday days per year</p>>> | Apache Spark |
| 643 | 1118 | Data Scientist - Defense & Intelligence | <p></p><div><p><b>Data Scientist - Defense & Intelligence</b></p>\n<p>Elder Research Inc. is a recognized leader in predictive analytics and data mining. We pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We are looking for innovative and inquisitive self-starters who enjoy translating complex models into actionable solutions that deliver real value for our clients. We have multiple openings in the Baltimore-Washington Metropolitan area for cleared analytics and data science professionals at varying skill levels to support our Defense & Intelligence business.</p>\n<p><b>Job Description</b></p>\n<p>As a Data Scientist, you will work directly with clients, managers and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods.</p>\n<p><b>Required Qualifications</b></p>\n<p>We are looking to hire Data Scientists with at least 5 years of technical experience working with data and deploying analytical solutions. Qualified candidates must have a Bachelor’s of Science degree in a technical field. All applicants for cleared contracts must be a US citizen and have or be willing to apply for a Top Secret security clearance. Ideal candidates have technical skills and analytic tool experience in several of the following areas:</p>\n<p><b>Technical Areas:</b> machine learning, predictive analytics, data mining, advanced analytics, statistics, workload prioritization, operations research, risk analysis, streaming analytics, anomaly detection, exploratory data analysis, ETL, event log processing, mathematical modeling, graph/network analysis, data visualization, text mining, data access, storage and retrieval</p>\n<p><b>Analytic Tools </b>(or equivalent)<b>: </b>R/Shiny, Python, SQL, IBM SPSS Modeler, Java, Pig, Spark, Oracle, RapidMiner, KNIME, Statistica, SAS, Matlab, Neo4j</p>\n<p><b>Desired Qualifications</b></p>\n<p>Graduate degrees and additional years of experience are desired. Experience working in any of the following domains is a plus:</p>\n<p><b>Domain Expertise:</b> national security, intelligence, counterintelligence, insider threat, biometrics, counter-terrorism, case support, executive protection, behavioral science, continuous evaluation, information security, cyber security, CBRN-WMD, emerging technologies/threats, S&T, R&D</p>\n<p>If you meet these requirements and have interest in these domains, we would like to hear from you. You can learn more about us and apply online at our website www.elderresearch.com.</p><br/>\n<br/>\n<p><b>About Elder Research, Inc.</b></p>\n<p>Headquartered in Charlottesville, VA with offices in Arlington, VA, Baltimore, MD, and Raleigh, NC, Elder Research is a fast growing consulting firm specializing in predictive analytics. Elder Research has been in the data mining business over 20 years providing analytic solutions to hundreds of companies and organizations across numerous industries. At Elder Research, you’ll be part of a fun, friendly community. In keeping with our entrepreneurial spirit, we want candidates that are self-motivated with an innate curiosity and strong team work ethic. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.</p>\n<p>Achieving success on defense, intelligence and security projects requires a data science team with broad experience, critical thinking, a proven ability to solve complex problems, and the ability to effectively communicate results. Our scientists conduct analysis in a collaborative environment that frequently brings together the expertise of decision-makers, analysts, agents, investigators, and even behavioral scientists. Our team relies on well-trained technical personnel who have experience with tools, algorithms, best practices, and custom software development to navigate the frontier of unsolved problems we typically encounter. Our team enjoys great variety in the type of work they do and exposure to a wide range of analytic techniques and tools.</p>\n<p>Elder Research is held privately by Dr. John Elder – our founder and data mining pioneer – and by our employees through our Employee Stock Ownership Plan (ESOP). We offer competitive salary and benefits, including paid time off, federal holidays, ESOP, 401(k) retirement, health, dental, life and disability insurance. Some fun perks include free snacks and drinks, gym membership, sit/stand desks and your birthday off. We are committed to a healthy work/life balance and we continually invest in your professional development. Friday Tech Talks with catered lunch are a hallmark of Elder Research’s culture. If this sounds interesting to you, we would love to hear from you.</p>\n<p><i>Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.</i></p>>> | Text Mining |
| 1483 | 3487 | Instructor - Remote | <div><h2 class="jobSectionHeader"><b>Job Description:\n</b></h2><h3 class="jobSectionHeader"><p><b>Do you enjoy teaching people? Can you explain highly technical topics in layman's terms? Do you enjoy learning new technologies? Do you like traveling the world? If so, our Cloudera instructor's role could be for you!\n</b><br/>\n<br/>\n<b>As an instructor at Cloudera you will be traveling to customer’s locations, helping them to implement and use Hadoop. Cloudera instructors are personable and feel comfortable teaching in a group, as well as a private setting. Ideal candidates are experienced technically with a teaching background, If you have no teaching background, but the technology experience and great communications skills, you may still be a good candidate for this role. At Cloudera, our goal is to make everyone feel valued for his or her contributions to the company’s mission. We are looking for smart people who want to do remarkable things. We strive to create an environment of casual intensity where people enjoy coming to work every day. Our senior management team meets regularly with the whole company to discuss strategy, successes and challenges.\n</b><br/>\n<br/>\n<b>NOTE: This role can be based anywhere in the US.<br/>\n</b></p><p><br/>\n<b>Responsibilities:\n</b></p><ul><li><b>Deliver Cloudera training courses on technical topics including Data Science, Developer and Data Analyst.\n</b></li><li><b>Assist with creating and maintaining curriculum\n</b></li><li><b>Work with customers to evaluate training needs\n</b></li><li><b>Up to 75% travel required\n</b></li></ul><p></p><p><b>Qualifications:\n</b></p><ul><li><b>Teaching experience highly preferred\n</b></li><li><b>Good written and verbal communication skills\n</b></li><li><b>Experience as a data analyst (minimum) or data scientist (preferred) ideally in a consulting environment\n</b></li><li><b>Knowledge of SQL\n</b></li><li><b>BS in mathematics, statistics, operations research, computer science, engineering (minimum)\n</b></li><li><b>Knowledge of data science and machine learning tools and processes\n</b></li><li><b>Knowledge of and practical experience with Python or R\n</b></li></ul><p></p><p><b>Pluses:\n</b></p><ul><li><b>Knowledge about Hadoop, databases, distributed systems, networking, hardware\n </b></li><li><b>MS or PhD\n</b></li></ul><p></p><p><b>The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions.\n</b></p><p><b>If this position has piqued your interest and you have what we described - we invite you apply! An adventure in data awaits.</b></p></h3>><p></p>> | Machine Learning |
| 879 | 2157 | Software Engineer, Machine Learning | <div><p>Lumi Labs is an early-stage technology start-up founded by Marissa Mayer and Enrique Muñoz Torres, based in downtown Palo Alto. We are focused on building consumer applications enabled by artificial intelligence.</p><p>\nWe are looking for software engineers with strong backgrounds in artificial intelligence and machine learning, who thrive in exploring new datasets and ambiguous problem spaces. As a early team member, you should be comfortable working in a fast-paced environment and enjoy applying your experience to new domains to help find fresh ideas. If finding novel, potentially cutting edge, uses of artificial intelligence on everyday problems sounds interesting to you, please consider applying!</p><p><b>\nRequirements</b></p><ul>\n<li>Graduate degree (MS or PhD) in Computer Science, Artificial Intelligence, Machine Learning or a related technical field</li>\n<li>4+ years of relevant software development experience with one or more of the following: language processing, image processing, pattern recognition, classification, recommendation systems, ranking systems or similar.\n</li><li>Self-starting scientific thinker who loves to experiment with new datasets and enjoys inventing new solutions in the face of ambiguities. We are defining our product specs through innovation and improvisation from every member of team.</li>\n<li>Solid software development experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python</li>\n<li>Solid Machine Learning background, familiar with most machine learning methods and experience working with different types of datasets and varied domains</li>\n<li>Good written and spoken communication skills</li>\n<li>Must be able and willing to lawfully work out of our downtown Palo Alto, California office</li></ul>>> | Pattern Recognition |
| 1435 | 3425 | Machine Learning Engineer - Fraud Engineering, Algorithms, and Risk | <div><div><div><div><p>Summary</p><div><div>\nPosted: <b>Dec 13, 2018</b>\n><div>Role Number: <b>200021161</b>>>><div>\nImagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.\nInternet Software and Services is responsible for delivering state of the art Internet applications like the App Store, iTunes, Apple Music and iCloud that are used by hundreds of millions of users every single day across the globe. Our team protects Apple services and customers from fraud and abuse through a combination of threat modeling, data analysis, and machine learning.\nWe are seeking a machine learning engineer with a dedication to turn the huge amounts of data generated by these applications into feature improvements that improve customer experience. You will have a bent for applied research with expertise in anomaly detection, predictive modeling, classification and optimization. You will take pride in designing, developing, and deploying algorithms that have direct impact on services that Apple provides to customers. The role requires broad knowledge of machine learning and the software engineering expertise to develop and deploy highly scalable algorithms.\nWe urge engineers to stay abreast of machine learning research by attending conferences and working with academic faculty and students. We cultivate a collaborative work environment, but allow solution autonomy on projects.>>><div><div><div><div><div><div>\nKey Qualifications>>><div><div><ul><li>\nStrong working knowledge of machine learning algorithms including classifiers, clustering algorithms, and anomaly detection</li><li>\nStrong programming skills in Scala, Java, Python, or similar language</li><li>\nExperience working with SQL, Spark, or Hive preferred</li><li>\nExcellent social, written, and verbal communication skills</li><li>\nConfidence working independently and making key decisions on projects</li><li>\nIndustry experience preferred but exceptional fresh graduates may also apply</li></ul>>>>><div><div><div><div><div>\nDescription>>><div><div>\nOur team is responsible for tackling fraud, abuse & account security problems across Apple’s Internet Software and Services. You will work hand-in-hand with other engineers, program managers and business partners to identify problems, define solutions, execute plans, measure and communicate results on a regular basis.>>>><div><div><div><div><div>\nEducation & Experience>>><div><div>\nPh.D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.\nApple is an equal opportunity employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.>>>>>>> | Machine Learning |
| 3419 | 7597 | Data Scientist | <div><p>Maru/Matchbox, a Maru Group company, has been pushing the boundaries of the customer market insights space for over a decade. Unifying deep sector expertise with cloud-based customer insights communities, we take a results-focused, consultative approach to helping clients better understand what motivates their customers and influences their markets, so they can act decisively and win.<br/>\n</p>\n<p><b>DATA SCIENTIST</b></p>\n<p>\nThis is a key role within our organization in that it will support our product, sales, leadership and marketing teams with insights gained from analyzing data. As a member of our Product Development team, a Data Scientist at Maru/Matchbox is highly skilled at managing large sets of data to figure out optimization of product and processes.</p>\n<p>\nThis role will require the successful candidate to be an expert at leveraging the right tools to test the effectiveness, have strong experience using a variety of data mining/data analysis methods and using/creating algorithms and creating/running simulations, among other skills.</p>\n<p>\nThis person will have proven ability in driving business results with their data-based insights. As such, they must be comfortable working with a wide range of stakeholders and teams within the organization.</p>\n<p><b>\nKey Roles & Responsibilities:</b></p>\n<ul>\n<li>Working with internal stakeholders to identify opportunities for leveraging data to drive business solutions.</li>\n<li>Mining and analyzing data to drive optimization and product development improvement, marketing practices and business strategy.</li>\n<li>Assessing effectiveness and accuracy of new data sources and data gathering methods.</li>\n<li>Developing custom data models and algorithms.</li>\n<li>Using predictive modeling to increase and enhance client experience, revenue generation, ad targeting and other business outcomes.</li>\n<li>Developing company A/B testing framework and test model quality.</li>\n<li>Coordinating with internal teams to implement models and monitor outcomes.</li>\n<li>Developing processes and tools to monitor and analyze model performance and data accuracy.</li>\n</ul><p><b>Competencies and Experience:</b></p>\n<ul>\n<li>Degree or higher in Mathematics, Statistics, Computer Science or other behavioral and/or equivalent quantitative science</li>\n<li>A minimum of 3 years of work-related experience in a similar or equivalent role.</li>\n<li>Coding knowledge and experience with several languages, preferably: C, C++ and Java, JavaScript.</li>\n<li>Solid experience in statistical and data mining techniques, specifically: GLM/Regression, Random Forest, Boosting, Trees, text mining and social network analysis.</li>\n<li>Proficient in querying databases and using statistical computer languages such as: R, Python and SLQ.</li>\n<li>Proven experience using web services; for example: Redshift, S3, Spark and DigitalOcean.</li>\n<li>Able to create and use advanced algorithms and statistics such as: regression, simulation, scenario analysis and neural networks.</li>\n<li>Skilled in analyzing data from 3rd party providers such as: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon and Facebook Insights.</li>\n<li>Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi and MySQL.</li>\n<li>Able to visualize and present finding to stakeholders using the following tools: Periscope, Business Objects, D3 and ggplot.</li>\n<li>Strong problem solving skills with an emphasis on product development.</li>\n<li>Must have excellent communication skills – verbal and written.</li>\n</ul><p><b>Behaviours</b></p>\n<ul>\n<li>Create: Resourceful and collaborate effectively to develop the best solutions / Creative thinking to drive solutions and improvements for the clients and the business, foster a culture of collaboration and team working / Problem solving / Curiosity</li>\n<li>Excel: Continually raise standards to achieve amazing results whilst inspiring others / Growth oriented / Winning mentality, inspiring / Self- motivated / Drive to improve</li>\n<li>Impact: Positively influence others and use good judgement to deliver smart outcomes / Ability to influence, negotiate and network at senior levels / Passion</li>\n<li>Energy: Enthusiastic and determined and you encourage others to accomplish important work.</li>\n</ul><p><b><i>What’s in it for you?\n</i></b></p><ul><li>Be a part of the ground floor development of our Big Data Strategy</li>\n<li>Work directly with Senior Executive leadership</li>\n<li>High profile roll out and delivery of strategy across the organization</li>\n<li>Establish yourself as the subject matter expert</li>\n<li>Ownership of multi company data management platform</li>\n</ul><p><b><i>Ready to join our team? Let's chat!</i></b><br/>\n<br/>\nIf this sounds like the perfect opportunity for you we invite you to apply online now.<br/>\n<br/>\nPlease note that due to the high volume of applications received only short-listed candidates will be contacted. We thank you for your interest in Maru/Matchbox and encourage you to constantly check our website for a list of all current opportunities.</p>\n<p>\nMaru/Matchbox is an equal opportunity employer.</p>>> | Neural Networks |
| 1920 | 5539 | Data Engineer - Alexa | <ul>\n<li>Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience</li>\n<li>3+ years of relevant work experience in analytics, data engineering, business intelligence or related field, and 3+ years professional experience</li>\n<li>2+ years of experience in implementing big data processing technology: Hadoop, Apache Spark, etc.</li>\n<li>Experience using SQL queries, experience in writing and optimizing SQL queries in a business environment with large-scale, complex datasets</li>\n<li>Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environments</li>\n<li>Experience in data visualization software (Tableau/Qlikview) or open-source project</li>\n</ul>\nAlexa is Amazon’s groundbreaking virtual assistant designed for voice interactions. We believe voice is the most natural interface for interacting with technology across many domains. We are looking for a Data Engineer to join our Analytics team located in beautiful Santa Barbara, CA.\n<br/>As a Data Engineer, you will build data pipelines, tools, and reports that enable analysts, knowledge engineers, software engineers, product managers, and executives improve Alexa’s answering capabilities across multiple information verticals: Sports, Business, History, Science, etc. In this highly visible role, you will work across teams to gather requirements for data logging, storing, transforming, and reporting, and will build scalable solutions under fast-paced environment.\n<br/><br/>\n<b>Key Responsibilities:</b><br/>\nYou love building tools and data pipelines, can create clear and effective reports and data visualizations, and can partner with stakeholders to answer key business questions. You will also have the opportunity to display your skills in the following areas:\n<br/><ul>\n<li>Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources</li>\n<li>Design data schema and operate internal data warehouses and SQL/NoSQL database systems</li>\n<li>Write Extract-Transform-Load (ETL) jobs and Spark/Hadoop jobs to calculate business metrics</li>\n<li>Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions</li>\n<li>Monitor and troubleshoot operational or data issues in the data pipelines</li>\n<li>Drive architectural plans and implementation for future data storage, reporting, and analytic solutions</li>\n</ul>\n> | Apache Spark |
| 882 | 2160 | Postdoctoral Scientist - Pathology - Dr. Stehlik | <div><div>Summary of Essential Job Duties:><br/>\n<div>>\n<div>\nThe Postdoctoral Scientist works independently and in cooperation with the Principal Investigator to make significant and creative contributions to a research or creative project in any academic discipline. The Postdoctoral Scientist may be an ongoing member of a research team or may be employed for a limited period of time to contribute high level skills to a specific research or creative program. Postdoctoral Scientists are not required to carry out independent research or to develop an independent research reputation and do not have teaching responsibilities. Ordinarily, the Postdoctoral Scientist will carry out research or creative programs as well as administration of day-to-day lab operations with supervision by a member of the Professorial Series.><br/>\n<div>>\n<div>\nEssential Job Duties and Responsibilities:><br/>\n<div>>\n<ul><li>The Postdoctoral Scientist will work independently under the mentoring of the principle investigators.</li></ul>\n<div>>\n<ul><li>The candidate is expected to independently design and conduct experiments, collect and analyze data, troubleshoot experiments, analyze data for publication and grant applications, and present research at national and international meetings. He/she may assist in the preparation and submission of grant proposals, publications and presentations, but is not responsible for acquiring grant funding. Teaching other research staff, students, and residents may be required.</li></ul><div>><br/>\n<div>\n#LI-Academic>>\n<br/><div><div><div>Educational Requirements:>\n<div>\nPreferred consideration will be granted for a research employee who has a doctorate degree with a broad range of knowledge and competency, who contributes high level skills to a specific research or creative program. The candidate must hold a Ph.D. in immunology or a related field and/or MD degree.><br/>\n<div>>\n<div>\nExperience:>\n<div>\nExperience of pattern recognition receptor and/or inflammasome signaling and in vivo inflammation models.\n><div>Experience in working with mutant mice and cell culture techniques are required. Experience with proteomics is a plus, but not a prerequisite.>\n<div>\nMust have a passion for translational research using animal models to study systemic inflammation. Demonstrated technical competency in a variety of research techniques and protocols including mouse models.>\n<div>\nHas a demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, and analysis and operation and maintenance of specialized equipment. Has knowledge of safety standards and maintenance of specialized equipment.>\n<div>\nExcellent written and oral communication skills are essential.><br/>\n<div>>\n<div>\nPhysical Demands:>\n<div>\nPosition requires working with mice, on the bench and on the computer for extended periods of time and the use of specialized laboratory equipment. Must be able to sit, stand and/or stoop for long periods of time. Must be able to lift at least 11 pounds.>>>> | Pattern Recognition |
| 2696 | 6575 | Principal Program Manager | <div><div>Speech, as part of the key AI interaction modality has fundamentally changed people’s daily interaction with machines and intelligent devices. Do you want to help to make Microsoft speech better for hundreds of millions users across Windows, Xbox, Hololens, etc.? Are you excited in building the next generation of speech experiences? If so, you might be perfect for this job! Microsoft’s Speech and Language group is looking for a talented and experienced Program Manager to help drive innovation in AI and speech technology.><div>><br/>\n<div>\nSpeech recognition is instrumental to natural interaction with digital assistants, bots, and agent experiences. You will drive product direction by working with partners to define speech experiences, analyzing speech data and customer feedback to deliver actionable insights and define the next generation of platform capabilities. Our services are deployed in 30+ languages, across several different devices and operating systems.><div><br/>\nWe are seeking the best and brightest talent to join our Speech team where your creativity, passion, and expertise can have a huge impact in taking our products and services to the next level. We believe that an acute understanding of our system quality, performance, and the user experience is key to navigating a successful road to increased market share.<br/>\n><h2 class="jobSectionHeader"><b>\nResponsibilities</b></h2><div>\nWe are looking for a Program Manager with passion for driving improvements to customer experiences leveraging strong collaboration skills and data driven approaches. As a PM your responsibilities will range from defining the speech interaction experience by leveraging the strength of speech technology, influencing 1st/3rd party partners in the interaction design and defining metrics to measure the effectiveness of new experiences, and identifying opportunities for improvement through data mining><h2 class="jobSectionHeader"><b>\nQualifications</b></h2><ul><li>\nBachelors in computer science or related discipline required. MS/or PhD in computer science or a related discipline preferred</li><li>\nMinimum 10 years of related work experience in product/program management</li><li>\nTracking record of managing/inspiring a group of talents</li><li>\nExcellent interpersonal oral and written communications skills across disciplines</li><li>\nProven experience driving work across multiple teams</li><li>\nFamiliar with software development processes and data driven engineering and have proven past experiences as a Program Manager across multiple release cycles</li><li>\nDemonstrated experience working with machine learning technologies, data mining and an ability to deliver high quality, complete systems in a highly collaborative team environment</li></ul><div>\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.><div>><br/>\n<div>\nBenefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.>>> | Speech Recognition |
In [21]:
len(X)
Out[21]:
3701
In [22]:
#This will get rid of most of the html markers that are within <>
def clean_html(text):
"""Remove html tags from a string"""
import re
clean = re.compile('<.*?>')
return re.sub(clean, '', text)
In [23]:
#Let's clean job descriptions
start = time.time()
for text in X:
for i in range(len(X)):
X['job_description'][i] = clean_html(X['job_description'][i])
end = time.time()
print("Done in", end - start, "seconds")
Done in 6.627346754074097 seconds
In [24]:
X.sample(25)
Out[24]:
| id | title | job_description | job_class | |
|---|---|---|---|---|
| 2890 | 6856 | Software Dev Manager | \nExperience programming in more than two languages (C++, Java, Python)\nKnowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations\n5 years of managing software development teams and in mentoring and developing software engineering teams\n7 years of full life cycle software development experience\nBachelor's Degree in Computer Science or related field\n\nCome join our team and help us invent Alexa's future. Alexa is the groundbreaking, cloud-based intelligent agent that powers Echo and other devices designed around your voice. Our teams are creating the speech recognition science and technology behind Alexa. Come join us! Our goal is to delight our customers by delivering the world’s best speech recognition powering the world’s best artificial intelligence.\n\nWe are a team of builders that work passionately to apply cutting edge technologies to solve real-world challenges that will transform the Alexa experiences in ways we can’t even imagine yet for our customers worldwide. You will be working with a unique and gifted team developing exciting products for consumers and collaborate with cross-functional engineering teams.\n\nAs a Manager of Software Development, you will be responsible for leading a team of engineers in design, development, test, and deployment of a range of capabilities that delight Alexa’s expanding customer base. A successful candidate will have an established background in developing customer-facing experiences, technical ability, project management skills, communication skills, and a motivation to achieve results in a fast paced environment.\n\nKey Responsibilities:\n\nResponsible for the overall systems development life cycle\nManagement and execution against project plans and delivery commitments\nManage the day-to-day activities of the engineering team within an Agile/Scrum environment\nManagement of departmental resources, staffing, mentoring, and enhancing and maintaining a best-of-class engineering team\nWork closely with the engineers to architect and develop the best technical design and approach.\n\nThis role requires working closely with product management and design to define strategy and requirements, and leading development teams from concept through delivery and subsequent operation. This position involves regular communication with senior management on status, risks and product strategy. Excellent listening, writing skills and very strong technical competency are essential.\n\nThe ideal candidate has experience through multiple complete product development cycles, possesses superior analytical abilities and product judgment. This opportunity requires excellent technical, problem-solving, and communication skills. Key to success in this position is an equal passion for delivering new features as well as operating the current applications at the highest level of quality, ensuring that our customers have a world-class experience.\n\nIdeal candidates have experience leading medium sized development teams, defining projects and features, coordinating efforts to scope, schedule, and deploy new features sets; as well as analyzing cost/benefit of feature selection with a rigorous approach to gathering and evaluating data and communicating results throughout the organization. An understanding of machine learning and AI concepts is desirable.\n\nKnowledge of the following is required: programming (including Objective C, C++, Java, messaging protocols, and web services), build processes, project management, and release schedules. The ideal candidate will have 7 or more years of relevant work experience in internet-related program and/or technical product management in a software applications environment. A bachelor degree in computer science or a related discipline is requirement.> | Speech Recognition |
| 3598 | 7805 | Machine Learning Engineer, Oculus | The Oculus team at Facebook is helping more people around the world come together and connect through world-class VR hardware and software. With global departments dedicated to VR research, computer vision, haptics, social interaction, and more, Oculus is committed to driving the state of the art forward through relentless innovation. VR’s potential to change the world is immense — and we’re just getting started.\n\nOculus Core Tech team explores, develops, and delivers new cutting-edge technologies that serve as the foundation of current and future Oculus products. From mixed reality and human interaction to natural inputs and beyond, Core Tech is focused on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the human value and new experiences they open up.\n\nMachine perception is a key ingredient in developing great virtual, augmented, and mixed reality technology. We are looking for experienced software engineers with a proven track record in machine learning architecture design. You will be working on a broad range of topics, from real-time object recognition and tracking algorithms to higher level scene understanding.\n\n\n>RESPONSIBILITIES>>\nDesign, iterate and fine-tune neural network models.>>>\nAnalyze runtime efficiency and optimal performance/accuracy trade-offs.>>>\nProfile and optimize the performance of complex ML systems, use cutting edge hardware accelerators.>>>\nDesign and implement ML code on co-processors such as DSPs and CNN engines.>>>\nDevelop optimized software to run on a variety of platforms and environments.>>>\nImplement an end-to-end framework to search for neural network models with various resource constraints and performance characteristics.>>>>>\nMINIMUM QUALIFICATIONS>>\nM.S. or Ph.D in Computer Science and 3+ years of work experience in ML software in C++.>>>\nExperience porting ML algorithms to new hardware/software platforms.>>>\nExperience optimizing ML software algorithms with hardware acceleration techniques.>>>\nExperience with vectorization techniques on at least one platform (e.g. SSE, NEON, etc.).>>>\nExperience with at least one scientific computation package (e.g. Eigen, Toon, etc.).>>>\nExperience with Software Development processes including: source control, bug tracking, and design documentation.>>>\nExperience with scripting languages such as Python.>>>>>\nPREFERRED QUALIFICATIONS>>\n5+ years of experience in optimizing machine learning networks techniques on embedded platforms.>>>\nExperience in designing efficient neural network models and deploying them on mobile platforms.>>>\nExperience with C++11 / C++14 features and principles.>>>\nExperience with at least one DSP or CNN engine.>>>\nPublications at top computer vision and machine learning conference such as CVPR, ECCV, ICCV, ICML, NIPS.>>>\nDemonstrated ability working collaboratively in cross-functional teams.>>>>>>> | Neural Networks |
| 1627 | 4489 | Senior Director of R&D Data Science Tools | Janssen Research & Development, LLC. is a division of Johnson & Johnson and we are currently recruiting for a Senior Director, Janssen R&D Data Science Tools.\n\nAt the Janssen Pharmaceutical Companies of Johnson & Johnson, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found.\n\nWe are Janssen. Our mission drives us. Our patients inspire us. We collaborate with the world for the health of everyone in it.\n\nJanssen R&D (JRD) is an organization of 11,000+ people with an operating budget of $7B, which includes JRD Therapeutic Areas (Cardiovascular/Metabolism, Immunology, Infectious Diseases/Vaccines, Neuroscience, Oncology, Pulmonary Hypertension) and JRD Global Functions. In addition, the Senior Director, R&D Strategy and Operations will partner to evaluate JRD current strategy, shape future strategy, align for execution and implementation.\n\nThriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion, J&J is proud to be an equal opportunity employer.\n\nAs the Senior Director, Janssen R&D Data Science Tools you will serve as a key advisor to the Vice President, Janssen Research & Development (JRD) Data Science Operations, Platforms and External Partnerships. You will effectively partner to design and create platforms to enable analyses within and across multiple Therapeutic Areas in Janssen.\n\nThe primary location for this position is Spring House, PA. Consideration will be given to other locations (e.g., Raritan, NJ, La Jolla / San Francisco, CA, Boston, MA, and Beerse, Belgium).\n\nResponsibilities include to:\n\nStrategic Responsibility\nYou will work closely with the VP and front-line operators to design and development informatics, applied data science and advanced analytical tools to inspire change and promote a data-driven mindset.\nYou will partner across the Janssen R&D organization to problem solve and craft solutions to fully enable a robust R&D data science capability.\nPartner with the Johnson & Johnson Technology (IT) department and other key departments to design JRD data platforms that enable therapeutic and functional areas be at the forefront of data driven competitiveness.\nLead a team of technology authorities to acquire tools that support data scientists to view and engage with multiple sources of data (device generated, patient generated, EHR, claims, ‘omic, biomarkers, RNA, etc.).\nPlay a major role in crafting and piecing together the development of tools for platforms that enable data integration, data cleaning, descriptive analysis, predictive analysis, exploratory analyses, data mining, text analytics, rapid prototyping, and data visualization for example.\nQuickly assess the potential benefit of data management tools to help prioritize what to spend engineering energy and time on & measure and summarize efficacy and product impact.\nProvide expert internal consulting services by topic/technique as needed and liaise with external consulting firms to bring the best of data science tools & technologies to Janssen R&D.\nIdentify emergent trends and opportunities for partnerships/ M&A opportunities.\nOperational Responsibility\nGuide a team of software developers to build, train, and maintain machine learning and statistical models and lead product performance and stress testing with the development team.\nConsolidate input from across the therapeutic areas and functional areas to ensure that all views are represented.\nEnsure appropriate resource deployment across Janssen therapeutic areas.\nHas overall control and responsibility of data management tool planning, staffing, budgeting, handling expensing priorities and recommending and implementing changes to methods.\nCollaborate with Senior Director of Platform, Janssen IT and design JRD data management tools to enable therapeutic and functional areas be at the forefront of data driven competitiveness.\n\n\nQualifications\nMinimum Education required: Master’s degree and 15 years of experience or PhD or MD and 8 years of experience in Mathematics, Information Technology, Biostatistics, Computer Science, or a related quantitative discipline.\nAt least 5 years of experience in leading the creation and development needs of computational or/and analytic platforms via leading the development of the necessary analytical tools is required.\nExpertise with clinical data and interoperability standards (CCDA, HL7, FHIR) is highly preferred.\nProven ability to effectively execute design specifications for analytic platforms is preferred.\nExperience contributing to creative analytical solutions is preferred.\nExperience with clinical software in the health care field is preferred.\nStrong record of proven leadership and communication skills is preferred.\nTravel 10% domestic and global overall is required.\n\nPrimary Location\nUnited States-Pennsylvania-Spring House-\nOrganization\nJanssen Research & Development, LLC. (6084)\nJob Function\nDevelopment\nRequisition ID\n7446181113>> | Text Analytics |
| 2076 | 5754 | Associate Partner, Cognitive and Analytics - Financial Services | Job Description\nAt IBM Global Business Services (GBS), we partner with Fortune 1000 clients to deliver real business value by bringing together the world’s largest consulting practice with industry-leading research capability, enriching business consulting with advanced research, analytics and technology, and teaming on all phases of engagement to plan, build, and implement advanced business solutions. We establish new, flexible and iterative approaches that only IBM can offer through our unique combination of skills, experience and capabilities, leveraging the proven roadmaps and frameworks we have developed across our 17 industries. Additionally, we apply IBM’s global expertise and local capabilities through our unique global delivery network combined with our teams in over 170 countries to provide our clients with an integrated approach to business design and execution and turning strategies into actions.\n\nAdd hook that makes IBM – ML + NLP + Open Source + Watson\n\nThe Associate Partner Cognitive and Analytics role is in our AI and Advanced Analytics practice. This position is for experts with documented success applying advanced analytics and cognitive solutions across complex Financial Services (FS) companies. Lead practitioner responsible for establishing strong relationships across our clients by building Cognitive Solutions for FS sector clients. Expected to be a deep expert in their technical area and provide thought leadership, mentoring, and support to the sales and delivery of core offerings while collaborating across IBM’s industries to bring fully integrated assets and services. Domain topics will cover: Machine Learning, NLP, and predictive statistics utilizing both open source and IBM Watson technologies.\n\n\nKey responsibilities:\nDevelop Key Relationships:\nPursue and cultivate strong relationships with client decision makers and influence client buying behaviors based on our extensive Artificial Intelligence capabilities, assets and thought leadership\nIllustrate eminence in the technical community (i.e. thought leadership, articles, talks, competitions, certifications)\nSolve business challenges and support business decisions by using advanced analytics techniques and deep learning algorithms\nIdentify opportunities and prepare proposals for clients including defining technical and human resources required to complete the project and associated pricing\nDevelop our People and our Practice:\nBuild a relationship across all levels of the practice\nTake personal responsibility to develop, mentor, and train data scientists.\nEstablish formal community activities to develop skills and expertise on specific domains of interest.\nDifferentiate the offering and the people working on it through the depth and breadth of expert skills\nManage and coordinate teams to deploy data analytics projects using innovative solutions and to provide analytics-driven insights\nEducate and coach both clients and team members on machine learning knowledge, practical mathematical modeling, simulation and optimization in multiple analytics platform\nBuild Assets and Capabilities:\nLeverage IBM offerings, assets, and capabilities to create and deliver differentiated service offerings to our clients.\nCreate new and innovative intellectual property to drive first of kind solutions for client business problems\nDemonstrate expertise in three or more domains (i.e. optimizations, deep learning, queueing theory)\n\nThis role will have the opportunity to contribute right away to top-tier clients in collaboration with consultants in a dynamic team environment. This includes work on projects that help clients integrate analytics-driven strategy to increase effectiveness, reduce costs and improve profit and shareholder value. This role provides an opportunity to build a powerful portfolio of interesting and rewarding experiences in many sectors. The ideal person will have strong experiences in the following areas with the opportunity to develop and strengthen abilities in the others: data analytics and modeling, data visualization, business acumen and strategy. You can take advantage of opportunities to master new skills, work across different disciplines and move into new challenges… all at IBM, a company that is at the forefront of taking on the grand challenges that affect our society.\n\nGBSGTM\nCPT18\n\nBENEFITS\nHealth Insurance. Paid time off. Corporate Holidays. Sick leave. Family planning. Financial Guidance. Competitive 401K. Training and Learning. We continue to expand our benefits and programs, offering some of the best support, guidance and coverage for a diverse employee population.\nhttp://www-01.ibm.com/employment/us/benefits/\nhttps://www-03.ibm.com/press/us/en/pressrelease/50744.wss\nCAREER GROWTH\nOur goal is to be essential to the world, which starts with our people. Company wide we kicked off an internal talent strategy program called Go Organic. At our core, we are committed to believing and investing in our workforce through:\nSkill development: helping our employees grow their foundational skills\nFinding the dream job at IBM: navigating our company with the potential for many careers by channeling an employee’s strengths and career aspirations\nDiversity of people: Diversity of thought driving collective innovation.\nCORPORATE CITIZENSHIP\nWith an employee population of 375,000 in over 170 countries, amazingly we connect, collaborate, and care. IBMers drive a corporate culture of shared responsibility. We love grand challenges and everyday improvements for our company and for the world. We care about each other, our clients, and the communities we live, work, and play in!\nhttp://www.ibm.com/ibm/responsibility/initiatives.html\nhttp://www.ibm.com/ibm/responsibility/corporateservicecorps\nCPT18\nGBSCBDS\n\nRequired Technical and Professional Expertise\n\n>At least 7 years of documented, provable experience in strategy consulting, application of data science, including: NLP, ML, and visualizations and optimization modeling\nAt least 7 years of experience in advanced analytics tools such as R, SPSS, Python, SAS\nAt least 5 years of experience negotiating and selling consulting services projects\nAt least 5 years of experience in formal project management methodology\nExpertise across a variety of data integration tools streamlining data across several big data solutions such as Cerner EMR, Apache Hive, Apache Pig, Apache Spark, Hadoop, MapReduce, MongoDB and Couchbase.\nAt least 3 years of experience in business development and sales of consulting services to C-suite executives of $3M+ / year\nAt least 3 years of experience delivering complex consulting services projects\nAt least 3 years of experience managing and leading teams\n\nPreferred Tech and Prof Experience\n\nMaster's Degree in Statistics, Mathematics, Engineering or related STEM fields\nApplied knowledge on simulation and optimization\nExperience in visualization such as d3, Javascript, HTML, CSS\nAt least 8 years of experience negotiating and selling consulting services projects\nAt least 8 years of experience in formal project management methodology\nAt least 8 years of experience in business development and sales of consulting services to C-suite executives of $3M+ / year\nAt least 5 years of experience delivering complex consulting services projects\nAt least 5 years of experience managing and leading teams\nAt least 3 years of experience in an engagement transforming customer experience or some back-office process leveraging analytics\n\nEO Statement\nIBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.>> | Apache Spark |
| 2189 | 5887 | Senior Back End Java Developer | Job Description\nInterested in amazing benefits and receiving 25% in PROFIT SHARING annually?\nAre you looking for the ability to learn some of the most cutting-edge technologies on the market and truly make a difference in the world? If so, then this is the position for you!\nWhat You’ll Get to Do:\nYou’ll develop software using some of the most cutting-edge technologies and capabilities on the market, providing you with an unparalleled opportunity to grow and advance. These capabilities currently include: real time streaming and alerting using Apache Storm, high-throughput data ingest into RDBMS and NoSQL data stores, batch analytics with MapReduce/Spark, RESTful Web Service development, Entity-relationship modeling via a graph database and Lucene, and Natural Language Processing all available within Amazon Web Services. You’ll even be given the opportunity to participate in annual hackathons where you’ll be given a week to work on anything that piques your interest. You can expect to work with highly motivated teammates that will support and push you, and will expect reciprocal action on your part.\nMore About this Role:\nResearches, designs, and develops software systems using industry proven design patterns and leveraging open source products when possible.\nStaying educated on current technology trends is strongly encouraged to be able to provide new and innovative solutioning as a recognized subject matter expert to our team and customer advocates.\nProvides advice, guidance, and team leadership to less experienced staff.\nSoftware development problems faced are difficult and often complex.\nInvolved in all stages of the application lifecycle to include systems engineering and requirement analysis, technical design, system integration, implementation, and deployment.\nSupports management teams in defining the technical vision of the program.\nEffectively communicate within an agile team to execute established development processes and tasks which is paramount to yours and the team's success.\nLimited Management oversight.\nYou’ll Bring These Qualifications:\nTypically has a University Degree (BA/BS) or equivalent experience and minimum 7 years of related work experience.\n5+ years of object-oriented software development experience\nAn active TS/SCI clearance is required\nThese Qualifications Would be Nice to Have:\nDocker/Kubernetes\nKey-value Data Stores (i.e. Accumulo, HBase, Cassandra)\nDocument-Oriented Data Stores (i.e. Elasticsearch, Solr)\nGraph Databases (i.e. OrientDB, Neo4j)\nHadoop MapReduce and/or Apache Spark\nApache Storm\nAmazon Web Services\nExperience with Geospatial Information Systems (GIS) and OGC WMS/WFS\nWhat We can Offer You:\nBIT Systems Inc. a CACI company, provides all of the benefits of a small company but with the stability of a multi-billion dollar company. As part of this, we offer a fairly unique benefits package. Basically, BITS benefits equate to 50% of your salary on TOP of your base salary. The first part is a tax-qualified profit sharing retirement plan to which BITS annually contributes up to 25% of your base salary (not in excess of applicable IRS limits) to your retirement account under the plan. The second part consists of BITS' Individual Benefit Account Plan (the IBA), which is used for premiums, medical reimbursements, dependent care, education and BITS' Paid Time Off (PTO) Policy. Both components of the benefits package are paid for by the company and do not come out of your take home pay. For more information please check out: http://www.caci.com/bit-systems/benefits.shtml\nOur work environment is mission-focused but relaxed, is professional but casual, and requires individual responsibility within team constructs. We offer an environment where business casual and shorts/flip flops work side by side successfully; we let you be you. DACOHP\nOther Highlights:\nWhat We Can Offer You:\nWe’ve been named a Best Place to Work by the Washington Post.\nOur employees value the flexibility at CACI that allows them to balance quality work and their personal lives.\nWe offer competitive benefits and learning and development opportunities.\nWe are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities.\nFor over 55 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success\nJob Location\nUS-Aurora-CO-DENVER\n\n\nCACI employs a diverse range of talent to create an environment that fuels innovation and fosters continuous improvement and success. At CACI, you will have the opportunity to make an immediate impact by providing information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. CACI is proud to provide dynamic careers for employees worldwide. CACI is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities.>> | Apache Spark |
| 2030 | 5695 | Senior Data Scientist | About Scoop>\n>\nScoop brings co-workers and neighbors together to enjoy a smooth carpooling experience—unlocking new opportunities to create friendships, improve their well-being, and make the most of their valuable time.>\n>\nLearn more in Forbes: https://www.forbes.com/sites/miguelhelft/2017/11/08/with-36-million-in-financing-scoop-wants-to-make-carpooling-mainstream/>\n>\nEngineering @ Scoop>\n>\nFew companies get to face such diverse technical challenges as Scoop, and we’ve built a team of people excited to face these challenges together while investing in each others’ growth.>\n>\nScoop’s engineering team may move bits and pixels, but we also put real, live human beings in cars together. We’re touching problems academics have written about for years, and have data that no other company has ever collected.>\n>\nBut Scoop knows engineering is not a lone discipline. We’re a small team with varied backgrounds: big companies, VC-backed startups, bootcamps, academia. We like to build together, and we like to learn together. Our entire team and process are built around helping you grow and be successful. And we’d love to tell you more about the impact you could have at Scoop.>>\nIn this role, you will:\nWork closely with Scoop’s product and engineering team to draw key insights to drive critical decision making\nPerform exploratory data analysis to gain a deeper understanding of behaviors and trends\nOwn the development and implementation of models, as well as monitoring of the models’ outcomes and performance\nEmpower the entire org to be data-driven by creating tools, resources, and training for that to happen>>>\nYou should:\nHave a strong understanding of statistical and machine learning concepts\nHave experience with end-to-end quantitative analysis, from data preparation through analysis and modeling to visualization\nPreviously have worked in a data-driven company\nBe proficient in Python and/or Scala. Ideally, you have worked with Apache Spark.\nHave strong communication skills>>>\nLife @ Scoop>\n>\nFounded in 2015 and based in downtown SF, our team mixes technology and elbow grease every day, with one statistic in our crosshairs: 80% of Americans drive alone to work. At Scoop, we envision a world where commuters feel empowered — starting with a choice to make their commute a meaningful part of their day. We embody that same spirit within our own culture, empowering every team member to make this the most meaningful experience of their career.>\n>\nWalk into Scoop and you’ll find a furry, tail-wagging welcoming committee. In many ways these fluffy faces exemplify the energy that flows through our office. They are a reminder that while we’re focused and driven, we shouldn’t take ourselves too seriously. They also help bridge the gap between our homes and our workplace, just like a Scoop carpool.>\n>\nThe atmosphere overall is dynamic and unique. It’s influenced by our backgrounds at successful startups, big tech companies, and premier consulting firms — blended and crafted into what feels natural and right for this company. It plays out in our balance of scrappy and strategic, frameworks and fast thinking.>\n>\nAt Scoop, we’re all united by our desire to change the way people get to work — and committed to enjoying the journey together along the way.>>>> | Apache Spark |
| 1862 | 5466 | Systems Engineer / DevOps | Below is a snapshot of our Systems Engineer / DevOps role within our Product Engineering Operations team. If this role takes your fancy and you are in interested in a career at Clarabridge please apply here and let's chat - we are always keen to speak to highly talented and passionate people!\n\nThe Clarabridge CX Social team builds a customer care tool for social media. Our clients use our software to be able to respond to the incoming questions and complaints on their Facebook pages, Twitter accounts, Instagram profiles, a.o. These clients often have a high volume of messages, on several social profiles. We try to make those people's lives easier by offering automation tools, smart routing of messages and reply suggestions, among others.\n\nCX Social is a distributed system that is high-volume and soft-realtime. Our infrastructure spans multiple data centers and is made up of over a hundred servers. This goes hand in hand with some challenges from an operations perspective. We need to be able to scale according to our needs. We need to monitor a ton of services and servers. As we deploy our code to production many times a day, we need deployment to run smooth and automated. Of course, we're totally buzzword-compliant with agile, docker, SaltStack and coffee breaks.\n\nOur system engineers have 2+ years of experience and a passion for development. Our product is a web application, so our main software stack has the usual parts like PHP, MySQL, Elasticsearch, RabbitMQ, Memcached, Redis, and Node.js. There are some more exotic things in there as well, like Clojure, ReactJS, Vowpal Wabbit, and others. Knowledge of any or all of these technologies is a huge plus, as is experience with deploying and scaling them, and server management.\n\nWe use continuous integration and our app is deployed by everyone in the team, multiple times a day. This means, that as a system engineer, you work together with the rest of the development team to make sure everything runs smoothly. If you know a thing or two about monitoring, security, Service Oriented Architecture or CAP theorem, come talk to us about it! We'd love to hear your opinions.\n\n------\n\n------\n\nAbout Clarabridge\n\nClarabridge helps hundreds of the world's leading brands understand and improve their customer experience. Using advanced text analytics, Clarabridge transforms survey, social, voice and all other forms of customer feedback into intelligence used to empower confident, decisive action across the business. The result: happier customers. For more information, visit www.clarabridge.com.> | Text Analytics |
| 529 | 937 | Data Scientist - Amazon Music NLU | Amazon Echo and Alexa are magical: you can ask for any music and it plays instantly. But it's still Day 1 for the voice-enabled music experiences, and we're looking for some Data Scientists to help us make it even better. As a member of the Amazon Music Natural Language Understanding (NLU) team, you will be responsible for leading the effort to invent and improve the ways that customers can ask for what they want to hear in Amazon Music Unlimited, Prime Music or in their Amazon Music library. You will create new Amazon Music voice features that will allow customers to discover new music and get to the music they would like to hear.\n\nThe ideal candidate is interested in being part of a nimble team, passionate about innovating for customers, and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. The person has an attention to detail to deliver solutions that delight customers.\n\nAmazon Music\nImagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more.\n\nEveryone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.\n\nOur team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.\n\nCome innovate with the Amazon Music team!\n>\nBASIC QUALIFICATIONSBachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.MS + 2 years or BS + 5 years of experience with machine learning, statistical modeling, data mining, and analytics techniques.Experience with Python, statistical/machine learning software.Experience applying various machine learning techniques, and understanding the key parameters that affect their performance.Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, and the ability to accurately determine cause and effect relationships.Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.>\nPREFERRED QUALIFICATIONSExperience in one or more natural language processing topics: tagging, syntactic parsing, word sense disambiguation, topic modeling; contextual text mining, and application of deep learning to NLP.Previous experience in a ML or data scientist role with a large technology company.Fluency in a language other than EnglishPassion for music.\nAmazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation\n\nmusicjobs#>>> | Text Mining |
| 3636 | 7844 | Expert/Senior Researcher - Machine Learning for Autonomous Driving | About Tencent America\n\nTencent America is the US branch of Tencent, a leading provider of Internet services in China. Among the key areas are investments, gaming, artificial intelligence, cloud services, entertainment, and internet services. Some of our partner companies and brands are WeChat, QQ, Tencent Cloud, Activision, Epic Games, Halfbrick Studios, King, and Riot Games.\n\nOur US headquarters is in Palo Alto and we have other offices in New York, Los Angeles and Seattle. Our growth strategy is focused on attracting the best people and creating an amazing work atmosphere that balances the energy of a start-up with the resources of a global innovation leader. As a Chinese company which is pursuing new markets and growing rapidly in the US, we maintain an entrepreneurial spirit and open mindset.\n\nIf you are eager to do groundbreaking work in a friendly, cross-cultural environment, we can provide unparalleled stability, resources, access to more than a billion users, and an international perspective.\n\nIf you—like us—are ambitious and self-driven, we invite you to explore Tencent America.\n\nExpert/Senior Researcher - Machine Learning for Autonomous Driving\n\nPosition overview:\nWe are building an autonomous driving research team based in Palo Alto, CA. The candidate is expected to have a strong interest in developing cutting edge technologies in Machine Learning and be passionate about identifying and resolving technical issues.\n\nResponsibilities:\n\nPerform research and development on advanced machine learning algorithms for perception with camera, LiDAR, and radar\nPerform research and development on advanced machine learning algorithms for behavior prediction.\nPerform research and development on advanced machine learning algorithms that fuse information from multiple sensors, maps, prior knowledge, and more, for autonomous driving.\nPerform fundamental machine learning research and advance the state-of-the-art technology for autonomous driving.\nPerform research and development for large-scale machine learning applications.\nCollaborate with other teams and apply machine learning technology to our autonomous vehicles.\nTest and iterate our technology on autonomous vehicles in both simulated and real environments.\n\nQualifications:\n\nPh.D. in Computer Science, Electrical Engineering, Robotics, Statistics, or related field\n3+ years of industrial or 5+ years of academic related experience.\nDeep insight on the growth of machine learning.\nExtensive experience with applying machine learning approaches such as deep convolutional neural networks, recurrent neural networks, instance-aware semantic segmentation, etc.\nExperience with at least one of the following tools: Caffe, TensorFlow, Theano, PyTorch, etc.\nExperience with C/C++ and Python\nExperience with point cloud processing, image processing, and computer vision.\nLegally authorized to work in the U.S. on a full-time basis\n\nWe'd like you to have:\n\nInquisitive, proactive, and interested in learning new tools and techniques\nStrong oral, written and interpersonal communication skills to work in a team environment\nAbility to thrive in ambiguity and a fast paced environment\n\nCompetitive Benefits\n\nWe offer a comprehensive benefits package to help ensure our employees are happy, healthy and able to focus on what they do best.\n\n\nWe pay 100% health insurance premiums for employees and their dependents\n401(k) Matching\nWellness Reimbursement\nPaid short and long-term disability coverage\nBasic life and AD&D insurance\nMaternity & Parental Leave\nPaid sick leave, time off, holidays\nTeam building\nFree Snacks & Beverages\n\nWe are an equal opportunity employer and value diversity at Tencent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.> | Neural Networks |
| 2133 | 5826 | Data Engineer, Software Solutions | As the Data Developer, Software Solutions you will use your talent for data focused development to support the architectures and procedures of Horizon Media’s institutional data warehouse. This may include ETL procedures for data sources, development of the core data lakes, data marts, or the data warehouse itself. Knowledge of data pre-aggregated data structures (OLAP) and unstructured data (NoSQL) is required. Previous experience with AdTech or MarTech data sources is desirable.\nResponsibilities:\nStrategy/Business:\n\nKnowledge of Complex Event Processing (CEP) models for streaming and/or Near Real Time (NRT) data updates\nExperience with topic creation using stream processing tools such as Kafka and/or Map R Streams\nDevelopment expertise with Lambda architecture models including Hadoop, Apache Flink, Apache Spark, or similar\nAbility to provide batch processing direction when coupled with Lambda NRT processing\nDeep knowledge of coding SQL RDBMS structures including Functions (Tabular & Scalar), Stored Procedures, in-memory processing objects, etc.\nKnowledge of MDX OLAP query language and familiarity with processing with tuples\nExpert in query path and execution analysis with focus on performance optimization\nAbility to logically troubleshoot existing routines quickly and resolve identified issues\n>Adhere to defined structure policies including naming conventions, population of\nroutine headers, code comments, etc.\n\nCollaborate with Software Solution team members and other staff to validate\ndesired outcomes for code prior to, during, and post development\n\nProvide unit testing on any/all deliverables\nPropose innovations to existing procedures to provide better user experiences\nwith data routine\nCommunications:\nCommunicate with Integrations Analysts, Business Consultants, and the AD, Media Technology & Data, Software Solutions to update status on current projects, convey issues encountered, and educate them on determined issue resolutions\nCommunicate material enhancements to data structures or processes and convey the value of these changes to the business users\nQualifications:\n5+ years experience working with large volume “Big Data” storage and processing\nchallenges\n\nWell versed in Lambda architecture design and implementation\nProficient in the object oriented programing concept and design patterns\nFamiliar with SOAP and REST (full) protocol\nExperience with multi thread/process programming\nWorks well in a continuous build and unit testing model\nBS/BA degree in Computer Science, Statistics, Mathematics, or related field; or\nequivalent experience. Masters degree preferred\n\n(Desired not required) Knowledge of the media transactional process, order of\noperations, financial procedures, and dependencies across all media channels\nDesired Technology:\nOffice\nMS Excel\nMS Powerpoint\nMS Project\nMS Visio\nDatabase\nMS SQL Server\nmySQL\nKafka\nAWS RedShift\nHadoop/Flink\nOLAP\nSSAS/SSIS\nBIDS\nMDX\nVisualization\n(one or more)\nTableau Desktop\nQlikview\nJasperSoft\nMedia\nSizmek\nDoubleClick\nSTRATA\nCoreMedia\nOmniture\nCertificates, licenses and registrations:\nNone\nPhysical Activity/Work Environment:\nNone\nAdditional Information:\nInfrequent travel may be required (<10%)\nThe statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer.>> | Apache Spark |
| 768 | 2001 | Data Scientist | Altice USA (NYSE: ATUS) is one of the largest broadband communications and video services providers in the United States, delivering broadband, pay television, telephony services, proprietary content and advertising services to approximately 4.9 million Residential and Business customers across 21 states through its Optimum and Suddenlink brands.\nFrom high-speed broadband and ultra-HD video, to digital advertising solutions, local news and voice offerings, we are making connections possible around the country - to businesses, to consumers, to communities, to schools, to hospitals, and everyone in between.>\n\nThe Altice USA Audience Analytics team is seeking an outgoing, curious, interdisciplinary expert in machine learning to help us address opportunities ranging from churn management to “right sizing” products for our customers.\nAs a data scientist, you will:\nBring a combination of mathematical rigor and innovative algorithm design to create recipes that extract relevant insights from billions of rows of data to meaningfully improve user experience.\nLearn, develop, and apply new techniques in the intersection of math, probability, and optimization.\nExplore Altice USA’s large-scale data to identify key insights on user behavior that will motivate future innovation.\nWork closely with various product development engineering teams to solve key retention and product affinity challenges.\nInteract with a stakeholder audience that includes Directors, Vice-Presidents, Senior Vice-Presidents and the Chief Operating Officer.\nWe are a fact-based, analysis-driven organization. The improved algorithms you develop will be A/B tested quickly and rigorously and you will have direct, measurable impact to the bottom-line.\nSome examples of the problems you might tackle in your new role:\nHow do we leverage our data to identify the customers that are risk of churning in the next 60-90 days?\nHow do we give these customers the right offers that will make them stay?\nHow do we detect data anomalies on voluminous data in matter of seconds and communicate them effectively?>\nMasters, or PhD degree in a quantitative discipline (Economics, Finance, Statistics, Chemistry, Physics, Biology, Mathematics, Engineering, Computer Science)\nExperience in data mining, data transformation, pattern recognition, building statistical models, and delivering actionable insights\nUnderstanding of applied math topics such as probability and statistics, linear algebra, basic optimization techniques\nExperience with advanced machine learning techniques, such as deep learning systems, is a plus.\nExposure to big data platforms, such as Big Query, Hadoop, AWS is a plus\nExposure to Google Machine Learning is a plus\nExperience with customer analytics concepts, such as CLV modeling, churn modeling, real-time customer evaluation, recommendation engine is a plus.\nNew Graduates welcomed.\nWe are an Equal Opportunity Employer M/F/Disability/Vet and maintain a drug-free and smoke-free workplace.>>> | Pattern Recognition |
| 1854 | 5449 | Lead Specialist - IT BI Data Analyst | Energy Transfer Partners - We are one of the largest Master Limited Partnerships with one of the most diversified portfolios of energy assets in the United States, totaling more than 71,000 miles of natural gas, crude oil, natural gas liquids and refined products pipelines, traversing 36 states with associated terminalling, storage and fractionation facilities.\n>>\nEssential Functions:>\n>\nWork with the BI team to enhance, augment, and shape our Data Strategy with new data sources from inside and outside the organization, and new technologies and methodologies.\nDevelop and implement creative use cases for our data and the latest BI technologies including IOT, Big Data, Machine Learning, and AI.\nTrain and spread BIG Data methodologies and technologies to the team and the rest of the organization.\nLeverage functional/business requirements to design and develop end-to-end solutions including ETL, governance, presentation, data mining, machine learning as may be needed.\nDevelop methods to deliver BI governance metrics (i.e. usage, memory, space, queries, etc.)\nWork with the business users to capture the business/functional requirements\nLead prototype efforts in various BI tools for capability assessment and demonstrations.\nContribute toward evolving company's analytical self-service/ad hoc reporting capabilities using existing or future toolsets.\nPrepare appropriate documentation and ensure that new functionality is properly transitioned to reporting users.\nWork with business partners and internal staff on resolving platform production defects and performance issues.\nPropose optimal ways to address business demands for BI with a goal of delivering maximum overall value for BI investments.\nParticipate and develop BI landscape strategy including optimal setup to support multiple/parallel project deliverables.\nMaintain strong and effective working relationships with SAP Applications owners, IT Infrastructure team and OS/Network Team.\nDevelop, document, and adhere to standard procedures and best practices.\nEnsure requirements are being met in accordance with corporate compliance standards.\nEssential Requirements:>\n>\nAt least 5 years of experience developing BI solutions within the Microsoft BI Stack (MS SQL Server/SSIS/SSAS/SSRS).\nAt least 2 years of relevant industry experience such as crude, natural gas, NGL storage and/or other energy transportation.\nAt least 2 years of direct experience or close working relationship with DevOps engineering and previous big data experience with multiple programming languages and technologies.\nBachelor's degree from an accredited college or university in Computer Science, Computer Engineering, or a related field.\nFluency in MS SQL query language, ability to write stored procedures, views, indexes, etc.\nExperience with consuming and developing REST API, JSON, XML, and/or JavaScript.\nUnderstanding of cloud and distributed systems principles, including load balancing, networks, scaling, in-memory vs. disk.\nExperience with large-scale, big data methods, such as Hadoop, Spark, Hive, Impala, or Storm.\nProficient in developing and executing test scenarios including regression testing.\nStrong tracking, coordination and project planning skills\nAbility to identify and implement programing logic and/or application improvements\nMust be able to work on multiple simultaneous tasks with limited supervision\nQuick learner, motivated self-starter, team player\nExcellent customer service, interpersonal, verbal and written communication, and team collaboration skills\nAble to follow change management procedures and internal guidelines\nStrong time-management skills, initiative, commitment, and ability to work under pressure to meet tight deadlines while maintaining high quality standards and best practices.\nExcellent analytical and problem solving skills, strong organizational skills, attention to detail\n>\nPreferred Skills:>\n>\nExperience warehousing or reporting against SCADA or other IOT environments.\nConfidence in several programming languages such as R, Python, Scala, or Java, with the ability to pick up new languages and technologies quickly.\nData Science/Advanced Analytics (ex: Predictive Analytics, Text Analytics, and analysis of unstructured data).\nVisualization experience with Tableau or Power BI.\nData modeling with SAP BW on HANA with HANA Studio and HANA Views.\nITIL Certification or experience using Remedy application is a plus.\nSystem administration skills with SSRS, Tableau, or Business Objects.\n>\nSpecial Characteristics/Job Requirements:>\n>\nParticipate in a weekly on-call rotation several times a year.\n>\n>\nEqual Opportunity Employer/ Disability/Vet>\n#LI-CK1>>>> | Text Analytics |
| 891 | 2171 | Assistant Buyer - Ladies Apparel | Job ID: 2019-24285\nPosted Date: January 18, 2019\nPosition Type: Regular Full-Time\nDivision: Merchandising/Buying/Planning - Buying\nLocation: 1200 Riverplace Blvd.\nJacksonville, FL\n>We are…\nStein Mart is a national off-price retailer offering designer and name-brand fashion apparel, home décor, accessories, and shoes at everyday discount prices. Stein Mart provides real value that customers love in over 280 stores across the United States and online. Apply today and join the team!\nAt Stein Mart, our purpose is to inspire our customers to look and feel special while saving money. Six values support our purpose, guide our behavior and smartly move us along our path to accomplishing our goals. Embracing this purpose and demonstrating these values will bring out the best in us every day and our customers will feel special every time they interact with us.\nWe value...\nHospitality\nWe are welcoming, friendly and look for ways to make you feel special\nHigh Standards\nWe are accountable for our actions and challenge ourselves to proactively improve\nUrgency\nWe move with speed and purpose to achieve success\nCaring\nWe are kind and concerned for the well-being of every person\nBold\nWe are empowered to be innovative and resourceful\nSimplicity\nWe make things easy for people to shop and work with us>>\n\n\n\n\n\nRequirements:\nCreate and input purchase orders into system; manage purchase order log\nPurchase order creation, track orders and resolve delivery issues through communication with import office, distribution centers, vendors and stores\nExecute Price changes\nAssist in presenting advertising layouts, designs and concepts to marketing department\nReview / proof advertising layouts for design, content and pricing and communicate with marketing department\nProvide information for point-of-sale signage and maintain integrity of signage for ease of store execution\nProvide ad hoc analysis and summarize findings to support assortment planning, merchandise financial planning and store planning processes\nProvide vendor and style selling reports to business partners as required/needed\nShop the competition\nPromote teamwork within the Merchant Team through daily communication, interaction and sharing of best practices with peers\nQualifications:\nBehavioral Traits:\nDemonstrates strong analytical skills and is detail oriented\nBuilds and maintains productive relationships with peers and the merchant team\nDemonstrates strong listening, written and oral communication skills\nDemonstrates solid problem-solving skills\nExhibits strong trend and pattern recognition skills\nIs flexible and adaptable to changing priorities\nManagement Practices & Business Applications:\nCreates all necessary analysis based on trends and reviews\nDemonstrates initiative in exposing and resolving issues and opportunities\nCommunicates effectively at all levels internally and with vendors\nMaintains professionalism in work relationships and habits\nReacts to feedback based on store and customer needs\nExternal Relationships:\nVendors (moderate amount)\n\nInternal Relationships:\nGMM/DMM\nGPM/DVP of Planning\nBuyer\nPlanner\nAssociate Planner\nAssociate Buyer\nAssistant Planner\nStores\nReports Directly to:\nBuyer>>>> | Pattern Recognition |
| 527 | 933 | Excellent Opportunity : Machine Learning Engineer:: San Jose,CA 95134 | $70 an hour>Contract>>Job SummaryJob Title: - Machine Learning EngineerLocation: -San Jose,CA 95134Duration: -ContractJob Description: Deep understanding of machine learning techniques such as deep learning, recommendation systems, decision trees, random forests, logistic regression, SVM, etc.Knowledge and experience in advanced AI, ML techniques such as:Convolutional Neural networks (CNN), Recurrent Neural Networks (RNN)Natural language Processing (NLP), NLU, NLG, Text Mining/Text AnalyticsReinforcement Learning/Deep Reinforcement LearningPractical experience in delivering large scale IoT based solutions for following domains:SecuritySmart CityTransportationHealthcareTools and libraries for developing and executing models, such as TensorFlow, Scikit-learn, Spark MLlibProgramming in Python, R and related toolsSoftware development experience including big data tools and distributed computingExcellent written and spoken communication skillsPlease include any additional details/requirements to the JobDescription above. Be specific with the Job Qualification requirements: Candidates must meet the minimum requirements outlined.Minimum Requirements: (“Must have” Qualifications)Thorough understanding of machine learning techniques such as deep learning, recommendation systems, decision trees, random forests, logistic regression, SVM, etc.Thanks and Regards,*Vinay Mishra*Technical RecruiterP: (408) 963 0395Job Type: ContractSalary: $70.00 /hourExperience:Neural Netwokr: 1 year (Required)Machine Learning: 1 year (Required)Python: 1 year (Required)Contract Length:1 year> | Text Mining |
| 2442 | 6229 | Internship - Speech & Natural Language Technology | Internship>>Job Description:\nLet me tell you about an artificial intelligence (AI)\ncompany that you probably have never heard of, but you\nwill. As a matter of fact, this company is the world’s\nlargest independent AI company and it’s headquartered in\nthe Boston area. We operate at the intersection of\ncustomer experience and AI – two of today’s hottest and\nmost dynamic industries.\nInteractions’ mission is to create amazing customer\nexperiences by advancing AI technology that understands\nand engages on a human level. The human element of what\nwe do not only relates to how we differentiate our AI\ntechnology, more importantly, it informs and guides our\nfocus on our most valuable asset, our employees. We\nendeavor to create opportunities for our employees to\nadvance their skills, their interests, their passions,\ntheir careers and their lives. Like all companies, we’re\nnot perfect, but we are committed to continually\nimproving our employee value proposition, one that\ncenters on competitiveness, flexibility and an\nappreciation for individuality.\nFor prospective employees, if that sounds challenging\nand exciting, we’d love to talk to you.\nTo support our continued growth, Interactions is\ncontinuing to expand its Internship Program for 2019 in\nspeech recognition, natural language processing and\nmachine learning. Focus on research will be in one of\n\nthe following areas: Dialog Analytics, Active Learning:\nRapid prototyping of NLU models, Speech-based Language\nID, Combining Language and intent models to improve\nlift, going beyond work: Rich Transcription of Speech\nand Web Crawl for Language Data. The summer internship\nwill last ten weeks.\nJob Responsibilities\n\nUnder the guidance and direction of the internship\n\nproject leader, use vast spoken and written corpora\nof conversations to develop algorithms and software\nfor language understanding and conduct original\nresearch to invent new methods for improved\nperformance.\n\nThese innovations will push the edge of science\n\nforward and will be deployed in large-scale services\nsuch as virtual assistants and intelligent agents\nfor Fortune 500 customers.\nQualifications\nRequired\n\nCandidate for PhD or MS or BS in computer science,\n\nengineering, mathematics, or a related field\n\nA background in speech recognition, machine\n\nlearning, or natural language processing with\n\nexperience in one or more of the following:\ndata-driven modeling methodologies for speech and\nlanguage tasks, advanced machine learning such as\ndeep neural networks, active learning, large-scale\ntext mining, web crawling, and dialog modeling.\n\nStrong software skills: Python, C/C++, shell\n\nprogramming> | Speech Recognition |
| 788 | 2033 | Software Engineer | Locus Biosciences is seeking a highly motivated and entrepreneurial applicant to join our team as a full-time Software Engineer. This position is well suited for those that have a strong desire to directly design and extend Locus’ machine learning and software-based genomics discovery capabilities.\n\nThe primary responsibility for the position is the development and maintenance of our phage discovery genomics pipeline, with targeted goals of building a world class genomics machine learning architecture for bacteria and phage genetics and delivering dashboard outputs that clearly report and visualize the insights gained through deep analysis of our data. This role will develop and lead Locus’ vision for applying machine learning architecture to better understand phage genomes, accelerate Locus’ synthetic biology platforms and enable the automatic recognition of natural genetic features that underpin bacteria and phage compatibility.\n\nAn ideal candidate will have extensive algorithm development and software engineering experience that complements a core skillset in genomics and informatics. The major focus for the position will be reducing the parameter space for large genomics datasets and developing pattern recognition frameworks that cluster genetic information into phenotypically relevant annotations. A background in Computer Science or Software Engineering complemented by experience in bioinformatics, general microbiology, and molecular biology would be preferred. This individual must be able to communicate effectively in formal and informal settings and be able to work well within a team.\n\nResponsibilities will include:\n\nDeveloping phage and bacteria genomic classifiers that predict gene function from an expanding dataset of phenotypic and genotypic information produced by our automation platforms\nAssist in software and coding needs that support our bioinformatics team and improve existing genomics pipeline\nReport insights from machine learning and genomics pipelines using modern web-based reporting dashboards\nHelp to build and maintain Locus’ cluster computing architecture\nHelp to build and maintain Locus’ distribute data resources\nDevelop and maintain systems and data repositories that correlate genomic activities with phenotypic data sets generated from the Locus biology automation platforms\nCandidate must possess:\n\nHands-on experience in computational genomics. Minimum 2-year experience\nExperience using distributed source code versioning systems. Minimum 1-year experience\nExperience with vector processing architectures and high-throughput parallel computing infrastructure\nWorking knowledge of bacterial genetics and/or microbiology\nAbility to structure, implement and maintain study plans in the face of evolving projects & programs\nWillingness to develop solutions to difficult objectives independently and consistently\nFlexibility in schedule, requires willingness to provide on-site, on-demand maintenance to minimize down-time of equipment\nPreferred qualifications:\n\nWorking knowledge of CRISPR/Cas systems\nMS or PhD in computer science or software engineering with a focus on biological systems\nMust be highly motivated and can work independently as well as part of an interdisciplinary team with diverse backgrounds\nJob Type: Full-time\n\nJob Location: Research Triangle Park, North Carolina\n\nFor immediate consideration, please email your resume or CV to: aeron.hammack@locus-bio.com\n\nDirect applicants only. No agencies please.>> | Pattern Recognition |
| 2625 | 6481 | Baker Assistant | GREAT PEOPLE | GREAT BENEFITS | JOIN OUR ALL-STAR TEAM!\n\nBaker Assistant\nAscending to 14,410 feet above sea level, Mt. Rainier is an iconic point in the Washington landscape. Our associates gain valuable experience here while meeting guests and coworkers from around the world, and in their free time they have a magical world of pristine mountain meadows, majestic waterfalls, peaceful old-growth forests, and much more to explore! Throughout the season we have regularly scheduled activities and day trips with transportation provided for associates, including trips to nearby adventures or cities like Seattle to visit Pike Place or catch a Mariners game! Employees with vehicles are only a short 2 hour trip away from exploring many destinations like Portland and Seattle on their own.\nBecause of our unique location, room and board are provided to associates who do not live in one of our surrounding communities at a very low-cost via payroll deduction. Laundry facilities are provided at each dorm unit at no cost to employees. Employee meals are served in Employee Dining Rooms. We can also accommodate a limited number of RV units. All RV's must be fully self-contained - no camper shells/vans, etc. As a team member in Mt. Rainier National Park you can expect your season to last from approximately early May to the beginning of October.\nDo you naturally reach out to help others, including guests and co-workers? Are you excited by the opportunity to live in a remote and beautiful location? Are you willing and able to work hard? If so, we want to hear from you!\nJOB SUMMARY\nThe Baker Assistant assists in the daily production of specialty baked goods at Paradise Inn including pastries and desserts. Assist Lead Baker by preparing ingredients, following recipes, baking items, and keeping the kitchen clean and orderly.\n\nESSENTIAL FUNCTIONS\nPrepare and bake food items such as pastries, doughs, fillings, cakes, pies, custards, and breads according to recipes, daily menus, and supervisor instructions.\nAssemble and maintain Sunday Brunch dessert station under direction of supervisor.\nMaintain assigned foods at sufficient quantities while minimizing production waste.\nAssist in maintaining kitchen sanitation and equipment cleaning schedule.\nAdhere to food safety guidelines including ServSafe and HACCP.\nAttend and participate in safety meetings.\nPerforms such other related duties as directed or required.\n\nSKILL AND KNOWLEDGE REQUIREMENTS INCLUDE\nHigh School Diploma/G.E.D. equivalent required; Culinary school diploma preferred.\nThree months professional or culinary school baking experience strongly preferred; hotel or national park experience preferred.\nPossess or be able to successfully complete ServSafe certification.\nPossess basic knowledge of culinary terms and practices; able to prepare baked items by following recipes.\nAble to follow directions to appropriately compensate for high altitude baking\nStrong customer service abilities; actively looks for ways to assist customers and coworkers.\nAbility to recognize when a problem has occurred and communicate it to management.\nPHYSICAL AND MENTAL REQUIREMENTS\nMoving about on foot to accomplish tasks, particularly frequent movements from place to place within the unit. Bend, lift, carry, reach/extend arms and hands above shoulder height frequently, or otherwise move in a constantly changing environment.\nLifting, carrying, and pushing up to 15 lbs. regularly, 20-25 lbs. frequently, and up to 40 lbs. occasionally.\nAbility to stand for the entire work day.\nClimbing steps regularly.\nWithstanding temperature extremes in freezer, refrigerator walk-in and grill areas.\nReading and writing work-related documents in English.\nSpeech recognition and clarity, including the ability to understand the speech of customers and co-workers and the ability to speak clearly so that you can be understood by customers and co-workers in English.\nAble to read and write work-related documents in English.\nConstantly communicates and receives verbal communication with other employees in fast-paced kitchen.\nPhysical presence at the job site is essential to perform job duties.\nEQUIPMENT USED\nTypical professional kitchen equipment (knife, range, oven, mixer, etc.)\nRequired Personal Protective Equipment (PPE) used: goggles, gloves, cut glove.\n\nGuest Services, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.>> | Speech Recognition |
| 1029 | 2718 | Intern, Machine Learning | Internship>>Intern, Machine Learning\n>\n19WD31439\n>\nAmericas-United States of America-Massachusetts-Boston>\n>\nIntern, Machine Learning>\nLocation: Boston, MA - United States>\nJob ID: 19WD31439>\n>\nPosition Overview>\nAre you motivated to change an industry? Do you love to work with smart people on complex problems? Autodesk Revit is an industry-leading 3D building modeling software that facilitates the creation of better buildings by helping Architecture, Engineering, and Construction professionals design and build more efficiently and intelligently.>\n>\nThe next evolution of design software will use AI techniques to search existing building models to learn how buildings are constructed and documented and apply that knowledge to the design of new buildings. As a machine learning intern, you will use machine learning to help design professionals reuse historical data and gain insights from past projects.>\n>\nResponsibilities>\nWorking collaboratively with software architecture, research, and experience design to define a solution that addresses customer needs\nPartnering with an experience design intern to implement a prototype service that uses machine learning to help customers use their own past data to improve their designs\nReaching out to other teams at Autodesk, including Autodesk Research, to learn about Autodesk AI solutions and how they can be used to address customer problems\nSharing your experiences and knowledge with a large product development team\nPlaying a key role in identifying actionable machine learning opportunities for building design\nInfluencing the next generation of software used to create the built environment around you>\n>\nMinimum Qualifications>\nFull-time student pursuing a Bachelors MS, or PhD in Mathematics, Computer Science, Engineering, or another quantitative discipline degree at an accredited program in the United States, with at least one academic term to complete post internship to be eligible for internship participation\nA solid understanding of machine learning theory and a demonstrated ability to apply it to real world challenges\nFamiliarity with common machine learning frameworks and platforms such as Tensorflow, Caffe, etc\nAbility to work with subject matter experts to quickly understand industry challenges and generate ideas for the application of machine learning\nThis job might be for you if:\nYou are a self-starter with excellent technical skills\nYou are passionate about solving customer problems\nYou are excited about building collaborative relationships>\n>\nPreferred Qualifications\nExperience in working with large existing software packages\nKnowledge of C++ and .NET\nFamiliarity with Autodesk tools in architecture or building engineering>\n>\nInternships @ Autodesk>\nOur summer internship program runs for ten to twelve weeks from June 2019–August 2019. We start interviewing in January/February and continue to on a rolling basis. We accept online applications through March but prioritize early submissions. Each internship project is assigned to a university recruiter who will review your qualifications. You may be considered for other roles that you didn’t directly apply for.>\n>\nAbout Autodesk>\nWith Autodesk software, you have the power to Make Anything. The future of making is here, bringing with it radical changes in the way things are designed, made, and used. It's disrupting every industry: architecture, engineering, and construction; manufacturing; and media and entertainment. With the right knowledge and tools, this disruption is your opportunity. Our software is used by everyone - from design professionals, engineers and architects to digital scientists, students and hobbyists. We constantly explore new ways to integrate all dimensions of diversity across our employees, customers, partners, and communities. Our ultimate goal is to expand opportunities for anyone to imagine, design, and make a better world.>\n>>\n#LI-POST\n>>\nAt Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world.>>>> | Machine Learning |
| 3196 | 7277 | Senior Software Engineer | About us:>\nMythic's platform delivers the power of desktop GPU in a single low-power chip, supporting inference for large deep neural networks. Mythic's technology is based upon an entirely new hybrid digital/analog flash calculation using 8-bit non-volatile memory arrays which has been under development since 2012. This step change in performance brings in a range of new applications in a broad array of verticals, including safety and security, autonomous vehicles, VR/AR, robotics and media.>\n>\nMythic is a fast-growing company with over 75 employees, $56M in funding from top tier investors, and >$1M NRE revenue from two existing customer accounts. Mythic's investors include Softbank, DFJ, Lux Capital, and Data Collective.>\n>\nAbout the role:\n>We are hiring Software Engineers to build out every part of our software ecosystem - including tools, compilers, performance analysis, diagnostics, and applications - that will power Mythic’s low power devices. You will help enable powerful custom hardware to dramatically accelerate neural network performance to levels 100x better than what exists today.\n>>\nWe are looking for engineers with very strong programming and mathematical problem solving skills. Applicants do not need to have an AI background but do need to demonstrate capabilities for robust software development practices and an ability for creating solutions for challenging technical problems. We are solving some unique problems that don't fit into a specific category so we are searching for smart engineers from diverse backgrounds!>\n>\nPerformance critical components of our software stack are written with C++11/14. Other components utilize Python and other programming languages where the tool fits best.>\n>\nWe strongly believe in making data driven technical decisions when choosing software tools and processes. At Mythic, you would be a key driver in deciding how to solve technical challenges in the software development process. We are looking for smart, driven people who are curious and excited about working with modern software methodologies.>>\nHere's what you will do:\nLead design and architectural efforts in debugging co-design, profiling, optimization, and other areas\nPartner with Mythic's Hardware and Deep Learning teams to create requirements and specifications\nValidate hardware instruction sets and operating models.\nCompile, transform and optimize neural networks to Mythic's unique hardware architecture.\nBuild tools to collect and analyze performance bottlenecks.\nDevelop tools and feedback mechanisms to improve neural network training and inference.\nCreate sophisticated simulations that provide deep insight on hardware performance and optimizations.>>>\nHere's the background we hope you have:\nExperience as a technical lead/team manager/advanced individual contributor in a variety of settings\n5+ years of professional software development experience\nBS, MS, or PhD in EE, CS, Math or any other technical area that includes applied programming\nExpertise in C++11/14 or Python and excellent debugging skills\nAdditional language skills for scripting and rapid application development>>>\nThe following would be nice to have, but is not required:\nCompiler development\nElectronic Design Automation\nHigh Performance Computing\nAR/VR development\nAlgorithmic trading systems\nGraphics engine development\nExperience with Rust>>>\nMythic is an equal opportunity and affirmative action employer. It ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.>\n>\nWe look forward to reviewing your application!>>>> | Neural Networks |
| 1808 | 5183 | DATA ENGINEERS X4 7/3/2018 | Contract>>JOB_ID – KF-20180710\nJob Title: Data Engineers x4\nLocation : Rockville, MD\n\nDuration : 6 months/contract to hire\n\n BR: W2 Emp or 1099 hourly - No C2C\nVisa status accepted: (Greencard or US Citizen are preferred but will entertain H1 due to the difficulty)\nFederal/Commercial client: Federal\nNumber of Openings – 4\nInterview Process: Phone w/HR/ 30 min phone with Tech Lead / 1 hr online coding exercise\nBI/Drug Test required upon offer: Yes/must pass client based background/drug test….will be vetting for Public Trust down line\n\n>\n2 MUST be filled by end of July…the other 2 by no later than 8/15!!\nWe are looking for Data Engineers to join our growing team using ground breaking cloud and big data technologies. These Data Engineers will collaborate with data scientists from prominent ivy league institutions to identify user needs, find solutions, and take our products from concept to launch. We have Mid, Senior and Lead roles available.\n\nBuild data pipelines using Apache Spark, Scala, Python, Apache Airflow etc.\nCollaborate with User Experience and Engineering teams in the planning of new products\nWrite unit tests and get close to 100% code coverage\nWork on AWS – S3 for storage, EC2 and EMR for processing/analysis\nFollow Agile methodology for the software development\nIdentify problems and propose resolutions\n\nQualifications\n\n 6+ year of engineering experience; focus on back-end development and/or data engineering\nIn-depth programming knowledge with Java, Python, and Scala\n Experience with Spark, Hadoop, or HIVE\n Strong experience with AWS; including EC2, EBS, EMR, ELB, SNS, RDS, CloudFormation, and more\n Experience with tools like Maven, Jenkins, Git\n Able to perform as an effective member of a geographically dispersed team across multiple time-zones\n\nEducation\nBachelor’s Degree in related field of study; experience is accepted in lieu of degree\nClearance:\nMust be eligible to obtain a Public Trust>>> | Apache Spark |
| 1323 | 3274 | Associate Application Developer | Overview\nThe Enterprise Applications department is an integral part of the NYPL Technology group responsible for the design, development, implementation, deployment, support and maintenance of the Library’s enterprise systems, technology service management, and productivity staff-facing tools. The department insures a strong alignment between the library’s business requirements and the applications and tools available to staff to fulfill those requirements by leveraging industry leading and on-demand services, processes and technology. The department’s application portfolio includes Workday, G-Suite, ServiceNow, the library’s staff-wide intranet website, as well as a host of applications and systems staff rely on to effectively execute their daily tasks.>>\n\nThe Associate Applications Developer's main function is to create and modify existing applications, including coding, user interface design, prototyping, creating integration solutions among core cloud services, database support, test and maintenance of applications after deployment and support to end-users. The Associate Applications Developer works with and supports other developers by collecting, analyzing and translating complex business requirements into functional specifications. The Associate Applications Developer collaborates with internal business and technology partners to identify solutions.\n>>>>Principal Responsibilities\nReporting to the Senior Application Developer, the Associate Application Developer II will:>\nAssist in collaborating with customers, business analysts, partners, and IT team members to understand business requirements that drive the analysis and design of quality technical solutions while concentrating on providing less complex innovative solutions to business needs.\nDesign, code, test, document, troubleshoot, and/or debug applications utilizing standard programming tools and techniques\nResponsible for analysis of current programs including performance, diagnosis and troubleshooting of problem programs, and designing solutions to problematic programming\nDocuments and demonstrates solutions by developing documentation, flowcharts, wireframe-layouts, diagrams, charts, code comments and clear code.\nProvides timely and effective communication regarding work status, issue escalation, solution proposal to appropriate stakeholders.\nActively participates in various forums related to process improvement and best practices and assists with the planning and execution of future technology initiatives.\nPerforms end-user training via written documentation, screencasts, one-on-one sessions and group meetings on new and existing applications.\nProvides technical support to business users when necessary.\n>>>Minimum Qualifications\nBachelor's degree in Computer Science, Information Science, or a related field, or an equivalent combination of education and relevant experience.\nDemonstrated ability to work independently with little direction and make sound business decisions\nDemonstrated ability to effectively communicate process and systems issues to stakeholders\nExperience building websites using standard front-end technologies including HTML5, CSS and Bootstrap\nExperience with Javascript and associated libraries including: Jquery, AngularJS, and ReactJS\nExperience using scripting languages for building web applications (Python, PHP, Node.JS, Ruby, Perl, etc).\nExperience with relational and non-relational databases including MSSQL, MySQL, SQLite, MongoDB.\nBasic understanding and familiarity with MVC frameworks (Django, Ferris, Laravel, Zend,CodeIgniter)\nBasic understanding and familiarity with Content Management Systems including: Django CMS, Mezzanine, Drupal and Wordpress\nAbility to use APIs from a variety of sources and develop integrations between platforms.\n>>>Preferred Qualifications\nWorking knowledge of PAAS and SAAS based services, especially Google App Engine, Google Compute Engine and ServiceNow.\nExperience developing and maintaining mobile web applications for iOS and Android using Typescript and Ionic framework or other similar tools and frameworks.\nFamiliarity with Agile and test-driven development methodologies and version control systems.\nWorking knowledge of WCAG accessibility standards and cross-browser testing and standards compliance checking.\nFamiliarity with the concepts related to developing Machine Learning and AI technology solutions\n>>>Physical Duties\nMay require travel within NYC>\n>>>Union / Non Union\nNon Union>>>>> | Machine Learning |
| 1209 | 3103 | Machine Learning Engineer | >Aether believes the key to unlocking the potential of bioengineering and nanotechnology is the application of deep learning algorithms trained on massive biological datasets. To leverage the data our high-throughput laboratories will generate, Aether requires sophisticated, scalable, and high-performance deep learning models. These models will define our ability to engineer biology and transition humanity to nanotechnology-based manufacturing, and we are looking for the best and brightest to join us in this challenge.>\n>\nAs an early member of our machine learning team, your passion and ideas will play a significant role in defining the infrastructure that will serve as the foundation for our deep learning efforts. You will be developing software from the ground-up with an early-stage team, and as such we are searching for someone who is excited by the autonomy, creative freedom, and rigor that this opportunity represents.>\n>\nAs a machine learning engineer you will design, build, and improve the systems responsible for the development and deployment of our machine learning models. By understanding the memory, storage, and compute requirements of our models, you will design and implement how our data is stored and transferred, how our models are trained, and how our models perform inference. You will be responsible for automating the processes of deploying our workflows, monitoring the health of our nodes and pipelines, repairing and/or redeploying corrupted workflows, and all other efforts related to workflow management. To accomplish these tasks you will be designing our machine learning infrastructure from the ground up, making key decisions such as whether to use cloud vs on-premise compute/storage, which tools should be built vs integrated from pre-built solutions, etc. The goal of these efforts will be to build a robust, scalable, and cost-efficient infrastructure optimized for speed and ease-of-use.>\n>\nIn addition, you will work closely with the machine learning science team to build tools and systems that enable them best in their effort to design, training, and evaluate models. Similarly, you will work closely with the software engineer/devops teams to form a bridge between laboratory information management systems (LIMS) and our machine learning systems.>\n>\nLastly, you will help grow a team of innovative, high-performing machine learning engineers and play a critical role in defining the technical environment in which the machine learning team executes. Enabling a nanotechnology revolution requires a cutting-edge deep learning platform that is unmatched in its predictive performance, speed, scalability, and extensibility, and you believe you are up to this task.>\n>\nResponsibilities>\n>\nAs a member of the technical staff within Aether, you will play a key role in shaping our technical culture, building world class technology solutions, and evangelizing the use of technology across the organization. Core responsibilities include:>\n>\nBuilding robust, scalable systems for:>Data storage and transferModel trainingModel inference\n>\nAutomating processes for:>Workflow deploymentMonitoring health of nodes and pipelinesRepairing and/or redeploying corrupted workflows\n>\nMake key strategic decisions on cloud vs on-premise compute/storage, which tools to build vs integrate from pre-built solutions, etc.>\n>\nBuild tools enabling the machine learning science team>\n>\nBuild the bridge connecting our laboratory information management systems (LIMS) and our machine learning systems>\n>\nPerform other related duties as assigned and based on Company needs>\n>>\nMinimum Requirements\nBachelor's degree in Computer Science, Mathematical Computing, Data Science, Bioinformatics, Machine Learning, or other relevant field\nAt least 2 years of industry experience building state-of-the-art software infrastructure\nDemonstrated ability to build scalable production systems that leverage cloud computing (i.e. AWS or GCP)\nExperience with git and version control\nFluent in Python and PEP 8>>>\nPreferred Requirements\nMS or PhD in Computer Science, Mathematical Computing, Data Science, Bioinformatics, Machine Learning or other relevant field\nAt least 5 years of industry experience building state-of-the-art software infrastructure\nExperience building infrastructure for deep learning systems\nBasic to expert knowledge of core deep learning concepts\nExperience in rapidly growing start-ups\nPeople management / hiring experience>>>>> | Machine Learning |
| 2273 | 6003 | Senior Data Engineer | Uplift operates at the intersection of travel, technology and digital lending. Founded by luminaries from the travel industry, Uplift is a well-financed Series C startup that provides point-of-sale financing for consumer travel. The consumer travel segment is a $1 Trillion global market that is under-financed relative to other key consumer verticals.>>\n\n>>\nResponsibilities\nDesign, build and maintain data pipelines in multi-cloud infrastructure (AWS and GCP)\nDesign and develop big data processing systems optimized for scaling (Apache Spark)\nDevelop and maintain real time data pipelines\nBuild software libraries, tools, serverless applications and workflows (Java and Python)\nDesign mission critical dashboards and reports using BI tools\nInternal process improvements such as automating manual processes, alerting systems, tooling, devops\nCollaborate closely with product teams to build tools, frameworks, reports to run experiments, analyze AB test results\nWork with analysts and data scientists to extract actionable insights from data that shape the direction of the company\nActively engage in design and code reviews - learn from your peers and teach your peers\nLead initiatives to research, analyze and propose new technologies and tooling for our stack>>>\nRequirements\n5+ years of software development or data engineering experience\nBA/BS degree in Engineering, CS, or equivalent, Master's degree a plus\nExperience with Big Data, ETL and data modeling\nPrevious experience with Linux, AWS, Docker and Kubernetes\nSolid coder with Java, Python, Bash\nExperience in developing and operating high-volume, high-availability environments\nAbility to align with rapid business changes: new requirements, evolving goals and strategies and technological advancements\nStrong drive to solve problems and get to the bottom of things\nComfortable working in a startup culture with the ability to earn trust\nPosition can be based from Menlo Park or SF>>>\nBenefits\nFree daily catered lunches\nMedical and dental insurance\nPre-IPO stock options\n401(K) plan\nGym reimbursement\nProfessional development allowance\nEasy commutes – Menlo Park, across from the Caltrain station. SF, two blocks from BART>>>\n\n>\n>Uplift is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.>>>> | Apache Spark |
| 1382 | 3359 | Machine Learning and Bioinformatics Scientist | Lygos is an industrial biotechnology company developing new technologies for the fermentative production of bio-chemicals. We are working to replace expensive, environmentally hazardous, and harmful petrochemical production processes used today with safe, renewable routes using engineered microbes.\n\nLygos is currently seeking a Data Scientist who will take the lead in establishing machine learning methods that will improve our R&D processes. This role will apply statistics and machine learning methods to problems in synthetic biology and metabolic engineering. The successful applicant will be expected to advance critical aspects of Lygos’ R&D processes through both effective individual and team efforts. Lygos is looking for talented candidates to lead this exciting opportunity!\nRequirements\nPrimary Responsibilities\nWork in close collaboration with team to conceive, plan, implement and successfully put into production machine learning models that predict metabolite production levels from genotype.\nData preparation, analysis, model building, visualization and automation of these tasks.\nCollaborate with Lygos’ R&D team, including strain engineering, fermentation, analytics, and downstream processing groups, to improve the design and analysis of experiments.\nHelp to stay abreast of and implement best practices for machine learning, data analysis and experimental design.\n\nAdditional Responsibilities\nPrepare technical reports and documentation\nMay also be expected to mentor or supervise junior data analysts or statisticians\nThere will remain significant time and opportunity to also participate in many other aspects of Lygos’ technical efforts, including: computational and systems biology, software development and other areas of technology development. The Lygos team works closely with all employees to support career development and facilitate the learning of new skill sets.\n\nEducation and Experience Requirements\nB.S. or higher in computer science, bioinformatics, or statistics and 2+ years of relevant experience or Ph.D.\nSignificant experience solving regression problems using machine learning\nKnowledge of molecular biology, metabolic modeling, and systems biology\nProficient with either R or Python\nProficient with relational databases and SQL\nDemonstrated success in technical proficiency, creative problem solving, collaborations with others.\nStrong organization skills and proven ability to manage details.\nEnergetic, creative, team player.\n\nSecondary Knowledge and Skill Considerations\nStrong verbal and written communication skills.\nExperience performing analysis on metabolic networks\nExperience with response surface methodology\nAbility to deliver on projects and assignments within timeframes and budgets.\nBenefits\nLygos offers a competitive total compensation packages including an employee incentive stock option plan. Benefits include medical, dental, vision, 401(k) plan, paid holidays and vacation time.>> | Machine Learning |
| 1831 | 5281 | IM Telematics Database Developer | Job Posting - External\nARI, part of the Holman Automotive Group and headquartered in Mt. Laurel, N.J., is a billion-dollar global vehicle fleet leasing and management company that prides itself on providing exceptional service. A recognized leader in the industry and the largest fleet management company in North America. Ranked #24 on FORTUNE magazine’s 100 “Best Places to Work” and #17 on Computerworld’s Best Places to Work in IT. ARI has more than 65 years of experience offering its employees a place where their careers and personal development can thrive.>>\n\nARI has an outstanding opportunity for a Data Integration Database Developer II>>\n\nJob Purpose: Develop data structures in relational and NoSQL databases in support of distributed processing systems of IoT data and analytics. Support the business by facilitating the importing, exporting, and integration of data into telematics system. Analyze application and reporting requirements to understand data elements and relationships to be included in the databases.>>\n\nEssential Functions:>\nDesign & develop data structures and solutions for processing and persisting IOT data.\nDesign & develop IoT data integration processes and data flows thru complex event processing.\nProvide timely project and task updates to all concerned parties\nWork with technical leads to tune and troubleshoot functional and performance problems in ETL jobs.\nWork with the DBA team to tune and refactor SQL used in ETL jobs>\n\nKnowledge and Skill>\nExperience working with any of these data storage technologies: Time Series Database, NoSQL database, Graph Database, S3, DynamoDB, RedShift\nOptional experience developing in any of the following streaming platforms: Amazon Kinesis, Amazon Firehouse, Amazon Analytics, Confluent Kafka, K-SQL, Apache Flink, Apache Storm, Apache Spark, Apache NiFi, Apache Pulser, Azure Event Hubs\nMust be proficient in SQL, ANSI SQL, PL/SQL.\nMust have a working knowledge of reading and creating ER diagrams\nMinimum 4 years of working experience in data warehousing/ETL development\nProvide some technical guidance to team members and willing to offer assistance to others\nExcellent verbal and written communication skills with a strong focus on the ability to clearly articulate and discuss technical issues\nStrong analytical skills, able to effectively solve problems in a timely manner\nExperience with data warehousing and high volume transactional databases is a plus.\nBachelor degree in Computer Science, Math or a related IT field or equivalent work experience in an IT field required>>>>>> | Apache Spark |
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| 3129 | 7195 | MGR DATA SCIENCE AND ANALYTICS | POSITION PURPOSE The Mgr, Data Science & Analytics is responsible for leading a team of analysts and data scientist providing analytical and data science support to the development and execution of pricing strategies and tactics at THD. The incumbent will play a key role in providing thought leadership to oversee the development of insightful and scalable pricing insights, ensuring analytic capabilities are defined with proper methodological rigor and architected to be available in a robust, scalable, and sustainable fashion. MAJOR TASKS, RESPONSIBILITIES AND KEY ACCOUNTABILITIES 20%- Coordinate with stakeholders to conceptualize, develop and implement consistent, robust and sustainable pricing and business intelligence capabilities. Provide thought leadership and subject matter expertise in all aspects related to analytics and data science within pricing context 40%- Lead the team in development of analytical insights and recommendations to cross-functional business partners both within and outside of pricing organization to helping them gain a better understanding of business, identify sales and profitability opportunities, and improve their decision-making 20%- Coach and continuously develop analytics and data science talent within the team 10%- Collaborate with partners to define the strategy and development plan for pricing, business intelligence, and competitive intelligence capabilities 5%- Prioritize multiple requests from executive and cross-functional partners for both ad-hoc and repeatable support NATURE AND SCOPE Reports to Sr Manager, Pricing. This role has 2 direct reports. ENVIRONMENTAL JOB REQUIREMENTS Environment: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Travel: Typically requires overnight travel less than 10% of the time. >MINIMUM QUALIFICATIONS Must be eighteen years of age or older. Must be legally permitted to work in the United States. Education Required: The knowledge, skills, and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Years of Relevant Work Experience: 6 years Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles. Additional Qualifications: Experience leading an analytical or data science project Experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) Experience using statistical and data manipulation computer languages (e.g. Python, R, SQL). Preferred Qualifications: Experience managing analytical and data science teams Master s degree in Operations Research, Statistics, Economics, Computer Science or Engineering Knowledge, Skills, Abilities, and Competencies: Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) Experience using statistical and data manipulation computer languages (e.g. Python, R, SQL) Experience visualizing/presenting data for stakeholders using Tableau or other similar applications Critical thinking, effective written and verbal communication skills>>> | Neural Networks |
| 1482 | 3486 | Biomedical Data Science Associate | Biomedical Data Science Associate Brown University Computing and Information Services seeks qualified applicants to join our Data Science Practice in the position of Biomedical Data Science Associate. The Biomedical Data Science Associate’s principal efforts will be focused on the development of scientific software and web applications for managing, analyzing, and visualizing biomedical and healthcare datasets, which may be defined by work supported by extramural grants and contracts. The Biomedical Data Science Associate will primarily support projects at the Brown Center for Biomedical Informatics (BCBI), but will have opportunities to explore other projects supported by the Data Science Practice. The Biomedical Data Science Associate will be an active participant in exploring creative new approaches for leveraging heterogeneous data to support biomedical research, healthcare, and policy initiatives in alignment with the vision of BCBI. The successful candidate for this position will work mostly on machine learning problems related to natural language processing. This is a three-year, fixed-term staff position, with the possibility of extension contingent upon available funding. The grade level of the position will be determined based on the qualifications of the chosen candidate. Qualifications for Grade 9: Bachelor’s degree required. 0 - 1 year of experience working on data science projects or related course work. Working knowledge with most of the following: Linux operating system, programming languages (e.g., Java, Ruby, R, or Julia), databases (e.g., MySQL or Oracle), Web languages and technologies (e.g., Ruby on Rails or D3), high-performance and distributed computing, and algorithm design and evaluation. Familiarity with several of the following areas: statistics; machine learning; natural language processing; deep learning; high-performance and distributed computing; data mining, exploration and visualization; data management; algorithm design; software engineering. Demonstrated ability to manage multiple projects with competing priorities and deadlines, and an eagerness to take ownership of challenging and open-ended assignments. Effective at communicating with audiences whose technical backgrounds vary widely. Qualifications for Grade 10: Bachelor’s degree required. Minimum of 1 year of experience working on data science projects. Advanced degree preferred in Computer Science, Statistics, Applied Mathematics, Physics, or with a similar technical and computational emphasis. Working knowledge with most of the following: Linux operating system, programming languages (e.g., Java, Ruby, R, or Julia), databases (e.g., MySQL or Oracle), Web languages and technologies (e.g., Ruby on Rails or D3), high-performance and distributed computing, and algorithm design and evaluation. Expertise in several of the following areas: statistics; machine learning; natural language processing; deep learning; high-performance and distributed computing; data mining, exploration and visualization; data management; algorithm design; software engineering. Demonstrated ability to manage multiple projects with competing priorities and deadlines, and an eagerness to take ownership of challenging and open-ended assignments. Effective at communicating with audiences whose technical backgrounds vary widely. Please note: in order to be considered for this position applicants must provide a cover letter and resume. All offers of employment are contingent upon a satisfactory criminal background check and education verification. Recruiting Start Date: 2017-12-05-08:00 Job Posting Title: Biomedical Data Science Associate Department: Office of CIO Grade: Grade 10 Worker Type: Employee Worker Sub-Type : Fixed Term (Fixed Term) Time Type: Full time Scheduled Weekly Hours: 37.5 Submission Guidelines: Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application. Still Have Questions? If you have any questions you may contact employment@brown.edu . EEO Statement: Brown University is an E-Verify Employer. Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers applicants for employment without regard to, and does not discriminate on the basis of, gender, sex, sexual orientation, gender identity, national origin, age, race, protected veteran status, disability, or any other legally protected status.>> | Machine Learning |
| 3478 | 7664 | Data Scientist | Contract>>SunTechPros is looking for a Data Scientist for a contract opportunity in Jacksonville, FL for 6+ months. *** Candidates with authorization to work for any employer and not requiring sponsorship would be preferred *** *** Remote working option available *** Candidate should have 6+ years of experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus. Core Responsibilities: Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks Implementing processes that improve and lead to greater data quality Conducting statistical analyses to develop strategies Documenting all processes and research Building new algorithms and model training Executing projects involving analytics Identifying data patterns and trends Analyzing data to develop predictive models Creating, managing, and maintaining analytically rigorous data Possessing a solid machine learning foundation Proven record of successful statistical product delivery Ability to execute health insurance use cases via statistical applications such as R or Python Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark) Significant experience with SQL and working with large datasets required Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate Noting anomaly detection and running diagnostics Performing graphical model analysis Strong verbal and written communication skills If interested, please send resume with subject line - 'Data Scientist' to anita@suntechpros.com>> | Neural Networks |
| 3171 | 7248 | Data Scientist, Mid | The Challenge: Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data. We have an opportunity for you to use your leadership and analytical skills to improve Joint Combat Command. You’ll work closely with your customer to comprehend their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll mentor teammates, develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in supporting our warfighters. Empower change with us. Build Your Career: At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you can expect: access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk a chance to change the world with the Data Science Bowl—the world’s premier data science for social good competition participation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want, as you chart your own course for success. You Have: Experience with applied machine learning Experience with data mining methods, including clustering and anomaly detection to comprehend data patterns and select appropriate predictive techniques Experience with applied statistics skills, including distributions, statistical testing, and regression Experience with data analytics languages, including R and Python Experience with query languages, including SQL, Hive, Pig, and Spark Knowledge of machine learning libraries, including scikit-learn Ability to transform complicated subject matter and diverse source material into coherent, engaging, and accurate communications for a variety of audiences Ability to work under pressure and meet tight deadlines across multiple projects simultaneously, including prioritizing demands on a daily, weekly, and monthly basis Secret clearance BA or BS degree Nice If You Have: Experience with data visualization tools, including ggplot, d3.js and Matplotlib, and Tableau Project management skills Knowledge of machine learning and assurance intelligence with techniques, including neural networks, recurrent and convolutional networks Ability to learn substance of research quickly and the intellectual curiosity and dedication to master vast and complex subjects MA or MS degree Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.> | Neural Networks |
| 1324 | 3275 | Senior Machine Learning Engineer | Our homes are our most valuable asset and also the most difficult to buy and sell. Knock is on a mission to make trading in your house as simple and certain as trading in your car. Started by founding team members of Trulia.com (NYSE: TRLA, acquired by Zillow for $3.5B), Knock is an online home trade-in platform that uses data science to price homes accurately, technology to sell them quickly and a dedicated team of professionals to guide you every step of the way. We share the same top-tier investors as iconic brands like Netflix, Tivo, Match, HomeAway and Houzz.> > We’re seeking a Senior Machine Learning Engineer to join us in building our predictive models and our data science team. You will get to work with some of the most interesting data sets and have the freedom and responsibility to help shape our core products from initial data exploration to production models. You will design and implement the foundation of our predictive models and work closely with other team members to test the accuracy in local markets.>> Responsibilities: Design and develop models to predict trends in residential real estate transactions. Develop, train, test, deploy and iterate models on large scale machine learning systems. Evaluate, improve and iterate on the performance of existing ML models. Explore new data which can impact the model predictions. Assess models accuracy and the impact of data quality on the precision of the price predictions. Apply and integrate model predictions to our new and existing products. Communicate model outcome to the rest of the team.>>> Requirements: Must be U.S. based. MS or higher in Computer Science, Statistics, Mathematics or equivalent. Passion for machine learning and deep learning. Minimum of 3 years of software development experience including coding, testing, troubleshooting, and deployment. Minimum of 2 years experience with building production end-to-end machine learning models at scale. Strong Knowledge of machine learning frameworks, particularly TensorFlow, a good understanding of the inner working of the frameworks. Programming proficiency in Python. Knowledge of SQL (MySQL or Postgres). Strong desire to contribute to a rapidly growing startup and being comfortable with learning new tools and technologies.>>> Bonus points for knowledge of: Experience with ensemble and meta model methods. Knowledge of real estate markets, MLS assessor/tax and parcel data.>>> What we can offer you: An amazing opportunity to be an integral part of building the next multi-billion dollar consumer brand around the single largest purchase of our lives. Talented, passionate and mission-driven peers disrupting the status quo. Competitive cash, full medical, dental, vision benefits, 401k, flexible work schedule, unlimited vacation (2 weeks mandatory) and sick time. Flexibility to live and work anywhere within the United States. As we are a distributed company and engineering team, we are open to any U.S. location for this role.>>> > >We have offices in New York, San Francisco, Atlanta, Charlotte, Raleigh, Dallas-Fort Worth, and Phoenix with more on the way. In fact, we are proud to be a distributed company with employees in 18 different states. This is an amazing opportunity to be an integral part of building a multi-billion dollar consumer brand in an industry that is long overdue for a new way of doing things. You will be working with a passionate, mission-driven team that is disrupting the status quo.> > Knock is an Equal Opportunity Employer. Individuals seeking employment at Knock are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.> > This role is not eligible for visa sponsorship.> > Please no recruitment firm or agency inquiries, you will not receive a reply from us.>>>> | Machine Learning |
| 3344 | 7497 | Machine Learning for Identifying/Locating Natural Targets Using Multi-temporal Dual-Pol SAR Data | Organization Office of the Director of National Intelligence >Reference Code ICPD-2019-13 >How to Apply Create and release your Profile on Zintellect – Postdoctoral applicants must create an account and complete a profile in the on-line application system. Please note: your resume/CV may not exceed 2 pages. Complete your application – Enter the rest of the information required for the IC Postdoc Program Research Opportunity. The application itself contains detailed instructions for each one of these components: availability, citizenship, transcripts, dissertation abstract, publication and presentation plan, and information about your Research Advisor co-applicant. Additional information about the IC Postdoctoral Research Fellowship Program is available on the program website located at: https://orise.orau.gov/icpostdoc/index.html. If you have questions, send an email to ICPostdoc@orau.org. Please include the reference code for this opportunity in your email. >>Application Deadline 3/1/2019 6:00:00 PM Eastern Time Zone >Description Research Topic Description, including Problem Statement: Despite the nature of coherent speckle noise and geometric distortions of synthetic aperture radar (SAR) data, automatic target recognition (ATR) from SAR images has been extensively studied due to its practical use in both military and civil applications. There remain some unresolved problems in these applications. The SAR ATR application is primarily used to recognize artificially-constructed objects rather than natural targets such as crops. The objective of this research use deep learning algorithms to identify and locate crops in space borne SAR images (Sentinel-1) with resolution less than airborne sensors and with minimal or no ground truth. The SAR data only collects in VV and VH polarizations. The SAR ATR procedure is typically composed of three steps: preprocessing, feature extraction, and classification. In the past, handcrafted features were first extracted from images using feature descriptors. The accuracy of the classification is profoundly dependent on the design of the feature extraction. In recent years, deep convolutional neural networks (DCNN) have achieved great success in image classification and recognition, and in many other applications due to their capability to learn features from data without task-specific feature extractors. Many DCNN SAR ATR studies validate their algorithms using the Moving and Stationary Target Acquisition and Recognition (MSTAR) dataset jointly sponsored by the Defense Advanced Research Projects Agency (DARPA) and Air Force Research Laboratory (AFRL).The MSTAR dataset contains image chips of tanks, infantry fighting vehicles, armored personnel carriers and multiple simple geometric shaped static targets. However, for natural targets, such as crops, the researchers must rely on field experiments to collect ground truth for training and validation. A few researchers reported in the literature that their DCNN works for crop classification using full polarization JPL AIRSAR data over Flevoland, a flat farmland in the Netherlands. The Flevoland ground truth was collected for the JPL-SAR and ERS-1 Campaign that took place in 1991.Another study using deep learning (recurrent neural network) and multi-temporal space borne SAR (Sentinel-1) data for agricultural land cover map was carried out at Camargue, France with available field survey data of over 921 reference plots. Under most circumstances, researchers will not have this type of information. Under the assumption of little or no ground truth, one can consider that time series datasets provide spatio-temporal presentations for DCNN for crop or vegetation classification. Benefiting from high-quality repeat orbit dual-polarization (dual-pol) SAR images captured by Earth observation satellites, such as Sentinel 1, this time series of dual-pol SAR data can be transformed into discriminative feature vectors for crop classification. The spatio-temporal approach is becoming a fundamental technology for crop identification and yield assessment. Example Approaches: An unclassified example that uses EO data instead of SAR can be found in Remote Sens. 2018, 10, 75; titled “3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images.” written by Ji, S., et al.That study suggested a three-dimensional (3D) convolutional neural networks (CNN) based method that automatically classified crops from spatio-temporal remote sensing images. First, a 3D kernel was designed according to the structure of multi-spectral multi-temporal remote sensing data. Secondly, the 3D CNN framework with fine-tuned parameters was designed for training 3D crop samples and learning spatio-temporal discriminative representations, and preserving the full crop growth cycles. In addition, they introduced an active learning strategy to the CNN model to improve labelling accuracy to a required threshold with the most efficiency. Finally, experiments were carried out to test the advantage of the 3D CNN, compared to the two-dimensional (2D) CNN and other conventional methods. Their experiments showed that the 3D CNN was especially suitable in characterizing the dynamics of crop growth and outperformed the other mainstream methods. Relevance to the Intelligence Community Analysis on illicit drug production and transnational drug trafficking that threaten US national security are important operations for counter narcotics. Improving the capability of estimating cultivation acreage of a wide range of illicit crops in nations that are known for growing specific illicit crops will be increasingly necessary research in the intelligence community. Key Words: SAR, Machine Learning, Dual-Polarization, Neural Networks >>Qualifications Postdoc Eligibility U.S. citizens only Ph.D. in a relevant field must be completed before beginning the appointment and within five years of the application deadline Proposal must be associated with an accredited U.S. university, college, or U.S. government laboratory Eligible candidates may only receive one award from the IC Postdoctoral Research Fellowship Program. Research Advisor Eligibility Must be an employee of an accredited U.S. university, college or U.S. government laboratory Are not required to be U.S. citizens >>Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Doctoral Degree. Discipline(s): Communications and Graphics Design (6 >) Computer Sciences (17 >) Earth and Geosciences (23 >) Engineering (27 >) Environmental and Marine Sciences (13 >) Life Health and Medical Sciences (47 >) Mathematics and Statistics (11 >) Nanotechnology (1 >) Other Physical Sciences (12 >) Physics (16 >) Social and Behavioral Sciences (36 >)>>>> | Neural Networks |
| 506 | 890 | Potential Software Engineer | $40,000 a year>>A Call for Potential Software Engineers: Are you a dedicated, energetic, highly-motivated engineer who wants to work in a progressive start-up environment? Are you looking for an opportunity to take an innovative organization to the next level? Join the Integratz team! Integratz is a Technology Consulting Firm committed to delivering Robotic Process Automation, DevOps, Automation, and Integrations to its valued customers. We offer technology consulting services designed to simplify our client’s challenges, innovate their ideas, and build scalable business solutions. We do this with a team of passionate associates, a proven framework, and ground-breaking technologies. Integratz has several training boot camp tracts that we will train you to gain these technical skills and qualify you for being put on projects that will improve your skills with hands-on experience. We want you to possess the following skills: Exposure or experience to languages like Python, Node.j.s., Java, or .net Basic knowledge of Linux/Windows and Networking fundamentals In this role you will get your hands dirty by working with: Algorithms Analytics Databases AI Cognitive Learning Machine Learning NLP Lastly, we want you to meet the following requirements: Perseverance to drive a hard problem to conclusion Ability to work both independently and collaborate/communicate with a team Competitive with ability to mix fun and work If you think you fit the bill, please send us a creative reason why you would like to join the Integratz team, a copy of your resume, and your contact information. Integratz = Simply Amazing We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Integratz does not sponsor visa.>> | Natural Language Processing |
| 3347 | 7500 | Vice President of Engineering | Inscopix, a discovery phase neurotechnology company, is seeking an inspirational, and execution-driven, Vice President of Engineering to lead us into the next phase of our development. Our brain imaging product platform has recently migrated to a new network-based data acquisition system that is ready for integrating with cloud-based data storage and analysis. The new product platform builds on years of Engineering and customer feedback, and our new nVista and nVoke brain mapping systems are now poised to enable scaling into the broader research markets and into high-throughput, big data applications for Pharma/Biotech and other enterprise customers. Much work remains to be done to unlock the full product feature set through successive releases of software. An ambitious R&D Roadmap also exists, with the primary goal of integrating multiple modalities into the platform, and to enable a cloud-computing future. The ideal candidate will provide technical leadership across all Engineering functions, organize and structure Product Development using a phase-gate approach, supervise R&D, and build and manage a highly innovative, disciplined and goal-oriented Engineering team. Responsibilities: Lead and manage all Engineering activities, including mechanical, optical, electrical, and embedded systems engineering functions. Oversee the activities of a full stack software and algorithm development team that is developing software for the instrumentation platforms and for a cloud-based data management and analysis service. Drive continued instrumentation product development, capturing early feedback from the launch of the new nVista and nVoke products and working with teams across the Company to define and implement key new product features addressing market feedback. Partner with Manufacturing Operations to manage all product/sustaining engineering activities. Together with Product Managers and the Engineering Team, develop instrumentation and software Product Roadmaps. Together with the Science team, and Scientific Advisors, develop and manage long-term R&D Roadmaps. Build and manage a cross-functional Engineering team. Improve existing processes for New Product Introductions and for scale. Serve as a key member of the Management team that sets the company’s strategic direction. Present roadmaps to the Board and report on milestones and accomplishments. Ideal Candidates Must Have: 15+ years of industry experience in life science, imaging instrumentation or big data/video processing, with at least 5 years in senior engineering management roles leading a multi-disciplinary team of engineers. Proven ability to build hardware products and integrate hardware with software. Experience with NVIDIA GPU-based embedded systems. Expertise with imaging, including image sensors and electronics for video acquisition. Proven track record building, leading, and managing Engineering teams. How to Apply: Please forward Cover Letter with Resume. About us: Decoding the neural language of the brain is the defining scientific challenge and opportunity of the 21st Century. Inscopix is a discovery phase neurotechnology company based in Palo Alto developing a platform and full stack for real-time brain mapping. Our team brings together deep domain expertise in neuroscience, physics, engineering, software development, and data science and is enabling radically new approaches to understanding the brain in health and disease. Inscopix’s neurotechnologies and the knowledge that they foster will transform human existence, from alleviating the suffering caused by debilitating brain disorders, to the development of advanced artificial intelligence, to a more profound understanding of what makes us the dominant species on Planet Earth. nVista and nVoke, our flagship products, are in use today at over 300 research institutions across the world, and have resulted in over 50 top-tier scientific publications on learning, memory, cognition, and on the brain circuits implicated in diseases such as Parkinson’s. Our instrumentation products are accompanied with sophisticated data analysis software as part of end-to-end solutions for generating and analyzing brain activity data. Inscopix has been recognized as a World Economic Forum Technology Pioneer, and by Deloitte as one of North America’s fastest growing technology companies. Inscopix is an equal employment opportunity employer.>> | Neural Networks |
| 1692 | 4571 | Associate Data Scientist | Infosys – DNA - Analytics - Senior Associate Data Scienctist - USInfosys is a global leader in technology services and consulting. We enable clients in more than 50 countries to create and execute strategies for their digital transformation. From engineering to application development, knowledge management and business process management, we help our clients find the right problems to solve, and to solve these effectively. Our team of 200,000 innovators, across the globe, is differentiated by the imagination, knowledge and experience, across industries and technologies, that we bring to every project we undertake.Wanted: Global Innovators To Help Us Build Tomorrow’s Enterprise UsingAs a Senior Associate Data Scientist, you will significantly contribute to identifying best-fit architectural solutions for one or more projects; apply data science techniques to analyze large amounts of data, presenting data insights using high impact visualization, provide regular support/guidance to project teams on complex coding, issue resolution and execution. You will collaborate with some of the best talent in the industry to create and implement innovative high quality solutions, participate in Sales and various pursuits focused on our clients' business needs. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.Location for this position can be: Dallas, TX, Fort Worth, TX, Chicago, IL, New York, NY. This role will require relocation and may require travel.U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.QualificationsBasic•Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.• At least 4 years of experience in Information Technology.Preferred• Masters or Ph.D. in Mathematics, Statistics, Computer Science, Operations Research, Engineering Science, Astrophysics, Computational Biology.• Exposure to data science and machine learning techniques and best practices including processing, cleansing, and verifying the integrity of data used for analysis• Apply analytical rigor and statistical methods to analyze large amounts of data, using advanced analytics techniques.• Experience with Python/R/Scala in Natural Language Processing (NLP) and Text Analytics, Time series modelling or Computer Vision.• At least 4 years of experience understanding business requirements from client and translate it to appropriate Data Analytics use cases• At least 3 years of experience leading project planning and delivery effort from the domain team• At least 2 years of programming in R/Python and SQL• Experience in Tableau/Spotfire Visualization and ability to quickly ramp up on PowerBI• Strong skills in communicating and presenting data-derived insights to non-technical audiences appropriately• Strong skills in communicating and presenting data-derived insights to non-technical audiences appropriately• Expected to build value through deep product, functional and application expertise and client engagement capabilities• Apply analytical rigor and statistical methods to analyze large amounts of data, using advanced analytics techniques.The job also entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.About UsInfosys is a global leader in consulting, technology and outsourcing solutions. We enable clients, in more than 30 countries, to stay a step ahead of emerging business trends and outperform the competition. We help them transform and thrive in a changing world by co-creating breakthrough solutions that combine strategic insights and execution excellence.EOE/Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity/National Origin> | Text Analytics |
| 2508 | 6313 | Siri - Program Manager: Personal Productivity | Summary Posted: Jan 3, 2019 >Weekly Hours: 40 >Role Number: 114343081>>> Play a leading role in shaping the way in which people interact with Siri to improve their productivity and get things done. Ship new Siri products and features to hundreds of millions of customers around the world, across consumer products like iPhone, Apple Watch and AirPods. We're looking for someone to lead the technical program and product management efforts across our Personal Productivity product portfolio. You have an eye for product and design, but also love rolling up your sleeves and getting into the weeds with engineering. You have a consistent track record of successfully leading large, highly complex, cross-functional programs. You're willing to wear any hat necessary and thrive in a dynamic, fast-paced environment. As a part of our team, you'd be responsible for building amazing new features and driving critical improvements to deliver the highest quality user experience that Apple customers expect and love. Your portfolio includes Calendar, Reminders, Timers, Alarms, and host of other things to help our users be more efficient in their day-to-day lives.>>> Key Qualifications>>> 3+ years in a product, program and/or project management role leading cross-functional teams in product development Experience managing large and complex software programs for consumer products at scale Self-motivated and proactive, with proven creative and critical thinking capabilities Excellent communication and presentation skills, written and verbal, to all levels of an organization Innate drive to improve how things work, strong technical skills with an eye for design and user experience Insatiable curiosity, not afraid to ask questions and dig deep into technical areas Ability to, directly and indirectly, lead large teams for success Prior experience working on speech and natural language products is a major plus>>>> Description>>> Lead roadmap, planning and execution of your features Drive and ship large, cross-functional features from inception through ship and post-ship Define, plan and deliver features end-to-end working closely with engineering, design and other Siri PMs Lead all aspects of your projects including specifications, scope, requirements, timelines, and resource allocation Analyze product metrics to measure performance and use this data to drive decisions Be the voice of the customer; partner with design and champion features that build a beautiful, compelling and intuitive end-user experience Communicate project status to leads and executives, present in executive reviews and coordinate product demos Build strong relationships across Apple and facilitate communication between cross-divisional groups>>>> Education & Experience>>> BS/MS/PhD CS/CE/EE or Equivalent>>>> Additional Requirements>>> Strong technical proficiency, with experience in and passion for speech recognition and natural language processing Familiarity with agile development methodologies and experiencing influencing and driving adoption in your workplace Bonus: prior programming experience within a workplace or academic environment>>>>>>>> | Speech Recognition |
| 3241 | 7331 | Engineering Internship | Internship>>Full-Time in Mountain View, CA - Internship>> DeepScale uses deep learning to build accurate and efficient perception systems that enable automated machines to “see”. Our software takes input from sensors and produces an environmental model of the real world. Our prior work has produced neural nets that maintain state-of-the-art accuracy but are up to 500x smaller than other nets designed for the same task. We have thought leaders and experienced practitioners in computer vision, AI-powered 3D reconstruction, and deploying small neural nets in embedded applications. We are currently looking for Engineering Interns who enjoy the freedom to explore solutions and the ability to lead new projects related to Deep Learning that the company will depend on. In this role, you will: Contribute to development on an area such as deep neural network design, embedded software engineering, or data pipeline development Work with experts in the field of Deep Learning Important Qualifications High familiarity with Python, including NumPy Excellent team software engineering practices Solid math or machine learning background Good interpersonal communication skills Good-to-have Qualifications Experience with full stack web application development Familiarity with low level programming (C/C++) Passion for learning about Deep Learning Location: Mountain View, CA>>>> | Neural Networks |
| 1774 | 4989 | Staff Software Engineer- Team Lead, Payment Acceptance | Toast is a rapidly growing startup building the first integrated restaurant management software platform providing an all-in-one system for handling orders, managing the kitchen, and providing analytics on the health of the business. We are one of the fastest-growing technology companies in the U.S., and ranked third on Deloitte's Technology Fast 500™ in November 2017. We move quickly and thus have lots of opportunities for career growth. If you're passionate about your work and want to be in a fun and growing industry, join us! The Payments teams at Toast operate one of the most critical portions of the Toast infrastructure: accepting payments from guests at restaurants. Payment processing is a key source of Toast's revenue and also the lifeblood of our customers; we process multiple millions of dollars in transactions per day. Our goal is to stay on the cutting edge of consumer payment options and give the restaurant staff and guests a fast and seamless payment experience. Some of our major recent projects include adding support for EMV with different card readers to our Android-based point-of-sale system, enabling our app to display both on guest facing and staff facing displays, as well as improving the overall quality of our codebase through adopting model-view-presenter and Kotlin. We are looking for an experienced engineer to lead the team to our next level of growth. In this role, you will: Write code that is used for processing hundreds of thousands of payments per day, interfacing with multiple hardware reader platforms Work closely with other teams to ensure seamless integration with our point-of-sale and backend Participate in code reviews to ensure implementations meet functional requirements Provide technical leadership and guidance to the team on how to build systems that solve current needs while being flexible to future changes Guide the growth of two to four engineers, including mentoring, career development, and performance management Do you have the right ingredients? Respectful, empathetic, and humble Comfort working on systems that are critical to customer success Can communicate clearly up, down and across teams, Enjoyment in devising technical solutions to solve complex business problems Sharing industry advancements trends and future directions to contribute to the knowledge base of the team Ability to quickly hop into a new codebase and find your way around Interest in balancing getting things done with making things perfect Pride in mentoring other developers Like getting involved in deciding what gets built to solve for the customer and the company. ------ ------ -------------- Our Tech Stack -------------- Toast's products run on a stack that ranges from guest and restaurant-facing Android tablets to backend services in Java to internal, guest-facing and restaurant-facing web apps. Our backend services follow a microservice architecture written using Java 8 and DropWizard; we use AWS extensively, ranging from S3 to RDS to Lambda. We have our own platform for dealing with user management, service elevations and robust load balancing. Toast stores data in a set of sharded Postgres databases and utilizes Apache Spark for large scale data workloads including query and batch processing. The front-end is built primarily using Angular and ES6. The main Toast POS application is an Android application written in Java and Kotlin. For data between tablets and our cloud platform we operate RabbitMQ clusters as well as direct tablet communication to the back end.> | Apache Spark |
| 2193 | 5897 | Tech Lead Enterprise Data Integration | Mandatory Skills: Ab Initio Big Data Edition >Desirable Skills: Amazon Web Services - AWS, Apache Spark >Job Description: Key skills required for the job are: Ab Initio Big Data Edition-L2 (Mandatory) Apache Spark-L1 Amazon Web Services - AWS-L1 As a Lead, you are responsible for managing a small team of analysts, developers, testers or engineers and drive delivery of a small module within a project (Delivery/Maintenence/Testing) You may serve as entry level specialist with expertise in particular technology/industry domain/a process / application / product. You are responsible for functional/technical track of a project. Minimum work experience:5 - 8 Years >Roles & Responsibilities: Minimum Experience Required: 5-8 YEARS Mandatory Skills: Ab Initio Big Data Edition ETL, Unix Shell Scripting, Data Integration Desirable Skills: Amazon Web Services - AWS, Apache Spark Language Skills: English Language>>> | Apache Spark |
| 2711 | 6592 | Scientist-Engineer | ECS is seeking a Scientist-Engineer to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding. Job Description: This non-personal services Scientific, Engineering and Technical Assistance (SETA) position is in support to DARPA programs. Areas of interest include, but not limited to contemporary machine learning algorithms and applications and neural networks. Experience working with Department of Defense organizations or performers is highly desirable. Previous experience as a DARPA SETA is highly desirable. The ideal candidate will have a deep understanding of contemporary machine learning algorithms and applications and neural networks in particular. Other relevant areas may include: computational neuroscience, cognitive science, bio-inspired algorithmscomputer architecture and design, ASIC design (digital, analog, and mixed-signal), neuromorphic computingnon-traditional computational models, "soft computing", bio-computing, natural computation, non-Turing modelscomputer vision, image / video processing, speech recognition, Natural Language Processing, sensor fusion, control theory> Required Skills: • Degree in Computer Science, Mathematics, Statistics, Cognitive Science, Computational Neuroscience, Electrical Engineering or a related quantitative field Demonstrated skill in successfully performing technical assignments including conducting research in problem areas of considerable scope and complexity requiring unconventional or novel approaches and sophisticated research techniques, risk analysis and resolution, tracking technical milestones, and report preparations.> Desired Skills: • PhD and published articles in Field of Expertise is highly desirable. ECS is an equal opportunity employer and does not discriminate or allow discrimination on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state, or local law. ECS promotes affirmative action for minorities, women, disabled persons, and veterans.>> | Speech Recognition |
| 2315 | 6054 | Technical Leader (Big Data Infrastructure) - WebEx Data Platform | What You'll Do As a Technical Leader within the WebEx Data Platform and Infrastructure Engineering team, you will have an extraordinary opportunity to leverage your technical expertise and direct a team of engineers through the architecture, design, development and auto-scaling of our global Data Platform. The WebEx Data Platform provides both batch and real-time data analytics utilized to provide operational insights and customer user analytics to both our Engineers and our global customers. We are seeking a talented self-motivated, and highly creative Lead Big Data Architect to join our team to evolve our big data platform. Lead a team of Data Engineers across a multi-functional teams to build, scale and deploy our Big Data infrastructure and data analytics applications on a global scale to our WebEx Data Platform by incorporating automation. Environment: Cloudera, HDFS clusters, Hive, Hbase, Apache Spark, Kafka, Ansible, Python Work closely with our global team on solution engagements, estimate the complexity and provide guidance on technical task breakdown and execution. Explore, prototype and evaluate new technologies to augment and complement our data platform. Design and build automation for the deployment of data infrastructure and the automation of monitoring & alerting processes using tools such as Puppet/Ansbile Perform capacity planning tasks to ensure high availability of our data application services. Who You'll Work With The Cloud Collaboration Technology Group (CCTG) is a $1.4B business unit that develops primarily cloud based collaboration software solutions, and is an integral part of the $4.4B Collaboration portfolio at Cisco. CCTG’s vision is to be the recognized industry leader in the Cloud Collaboration market as well as to be the industry beacon that attracts top talent. Our strategy is to sustain innovation in our current $1.4B product line, and to develop innovative new products for the future that expand and positively disrupt our market. We will do all of this, and build a next generation cloud platform with APIs and an ecosystem that deliver tangible business outcomes enabling our customers to get more jobs done! Who You Are You possess a deep understanding of Big Data platform components such as Hadoop and its eco-system components including hands on experience in building and managing large scale Hadoop deployments focusing on scale, reliability, performance, and security. Familiarity with data analytics best practices. You possess a deep understanding of at least 2 additional categories of knowledge below: Data pipeline – experience in developing distributed data ingestion pipelines and integrating with data anlaytics applications for flexible and scalable data transformation with data quality controls. (ETL, Kafka) DevOps - You are familiar with DevOps frameworks and have automated the deployment of HDFS clustered servers and/or automated deployment of data pipelines to data platforms Hadoop Administration: Previous experience configuring and managing large HDFS deployments. You should be well versed in creating deployment automation. Data Processing: Experience with large scale distributed data processing technologies in Hadoop ecosystem (including batch/stream processing; Spark). Data visualization – knowledge of tools that are cost-effective and make it easy for end users understand data and produce visualization reports and graphs. Minimum Job Qualifications Bachelor of Science in Engineering or Computer Science (Master preferred) in addition 10 years of work experience in the full life cycle development and integration of either distributed systems or data management platforms. 5+ years hands-on experience designing, developing and deploying data pipelines and/or data analytics applications. You possess in-depth experience with the design, planning, deployment and operations of large scale Hadoop infrastructures - HDFS clusters, CDH, MapReduce, Data nodes, etc. Previous experience conducting capacity planning of Hadoop infrastructure. Familiarity with Apache Kafka, Apache Spark, Qlik, Cassandra Proficient in software development (Java/Python or equivalent). Experience with DevOps automation (Windows/Linux scripting, Puppet/Ansible or equivalent, data platform monitoring tools and frameworks). Flexible and self-motivated problem solver who can work both individually as well as an effective team player with excellent attention to detail and great interpersonal skills (both verbal and written) Be willing/able to work across boundary to reach the best solution in world-class cloud services. Why Cisco We connect everything: people, processes, data, and things. We innovate everywhere, taking bold risks to shape the technologies that give us smart cities, connected cars, and handheld hospitals. And we do it in style with unique personalities who aren’t afraid to change the way the world works, lives, plays and learns. We are thought leaders, tech geeks, pop culture aficionados, and we even have a few purple haired rock stars. We celebrate the creativity and diversity that fuels our innovation. We are dreamers and we are doers. We Are Cisco. LI-TC1 dicedev>> | Apache Spark |
| 3014 | 7002 | Dental Assistant (Full Time) | Preparing patients for dental examPerform chair-side duties and assisting the dentist Note: Part time jobs will grow into full time. Responsibilities: Prepare patient, sterilize and disinfect instruments, set up instrument trays, prepare materials and assist dentist during dental procedures.Hand instruments and materials to dentists and keep patients mouths dry and clear by using suction or other devices.Obtain dental recordsTake and develop x-raysRecord treatment information in patient chartTake/ record medical/dental histories and vital signs of patientProvide preoperative instructions prescribed by dentistsAssist in management of medical and dental emergenciesTake/pour/trim/polish impressionsInstruct patients on oral hygieneAssist in adjusting crowns/partials/denturesPack/unpack lab cases that come into the officeOrder suppliesMake temporary crownsKeep dentist on scheduleLight housekeeping Job Shift: A typical day is 8-10 hours. Knowledge/Skills: Communication with patient and staffSpeech recognitionNear visionFinger dexterityManual dexterityOral/written comprehensionTime managementInstructing/training othersEquipment selection and maintenanceActively looking for ways to help peopleTranslating or explaining dental procedures/terminology information on what it means and how it can be benefittedKeeping up to date on technically and applying new knowledge to your jobHandling and moving objectsInspecting equipmentUsing computersBe professionalBe aware and able to multitask>> | Speech Recognition |
| 143 | 304 | Data Scientist | OM1 is a leading healthcare technology company focused on providing outcomes measurement and predictive analytics for value-based and personalized healthcare. Leveraging big clinical data, standardized outcomes measures, and artificial intelligence technology, OM1 delivers a scientifically robust and clinically meaningful approach to enable stakeholders across the healthcare ecosystem to improve clinical and financial outcomes with more precise information for better decision-making. We are seeking a Data Scientist to be part of the team which is responsible for developing and deploying the Artificial Intelligence solutions of OM1. We use Machine Learning, Natural Language Processing and Deep Learning. We strive to be innovative while ensuring that our solutions deliver tangible value to multiple stakeholders. We strive to provide solutions that predict and enable improvement of patient outcomes and lives in multiple medical conditions. We work closely with our in-house Medical Doctors to ensure that we solve important problems. With Clinical Informaticists and Biostatisticians to ensure medical rigor in our solutions. With Software Engineers to ensure that our deployments meet rigorous quality, speed and patient privacy standards. We interact directly with OM1’s customers to ensure that our final product is well understood and valued and addresses real needs in an impactful way. In your role you will: Use our standardized, linked data Define multiple AI problems with no limitations on sophistication of the algorithms that can be used to solve them, as long as our practical objectives are met Interact with Medical experts to ensure rigor of the approach that you have chosen Rigorously derive statistical performance metrics and be prepared to communicate them Derive corroborating evidence that will help the Medical expert see the value of the AI solutions from their viewpoint Work within the Data Science code base architecture to render your solutions production ready Develop solutions that read large volumes of data and produce insights in real time. Requirements Experience with Machine Learning, Natural Language Processing, Deep Learning Hands-on experience coding in Python or other advanced programming languages. Experience working with large datasets using SQL Experience with Unix. Quantitative background and degree(s) in majors such as Computer Science, Engineering, Science, Mathematics or similar. At least 2 years' experience working with large datasets Background in Machine Learning and strong interest in further developing expertise.>> | Natural Language Processing |
| 376 | 709 | Account Strategist | Job SummaryAbout Us:113 Industries is a consumer behavior modeling company that analyzes large volumes of social media data to uncover consumer needs to drive the development of innovative products and services for Fortune 500 companies. We do this using IBM Watson and Natural Language Processing technologies.Through unique social listening processes and technologies, we are able to uncover consumer behaviors, needs and white spaces. Using these behaviors, needs and strategies and applying the discipline of Design Thinking, we help our clients innovate and create actionable plans to develop new products, services, and approaches that are instantly adopted and lead to immediate success for our clients.Job Description:113 Industries is looking for a strategic thinker to join the organization as an Account Strategist. This position is tasked with developing key data strategies, client deliverables and participating in fast-paced brainstorms in order to help develop powerful initiatives for Fortune 500 clients.Responsibilities and DutiesDataIdentify conversation trends and patterns within social media data occurring in various spacesUncover key consumer behaviors from analysis of high-volume data setsRecord and report observed behavioral patterns for collaboration with rest of teamPerform data deep-dives to satisfy client questions and follow-up needsStrategyCreate deliverables to display data trends effectivelyWork with Director of Strategy to brainstorm tactical applications of data trends and patternsAdd information to key strategies created by team before transferring to a deliverableUnderstand implications of key patterns and independently apply to overarching strategies for projectsPresentation and Client LeadershipEngage directly with Fortune 500 leadership to determine project timelines, set deliverables and project expectationsPresent deliverables to clients over the phone and in-personAnswer tactical project questions during presentationQualifications and SkillsBachelor’s Degree3-5 years experience in marketing, advertising or related rolesBackground in marketing, strategy-related roles, market research, and/or social listening idealExperience in client meetings and presentationsProficiency with Microsoft PowerpointExcellent attention to detailAbility to learn new softwares efficientlyPosition reports to: Director, Consumer Insights and StrategyThis opportunity is based in Pittsburgh, PA.Job Type: Full-timeEducation:Bachelor's (Preferred)> | Natural Language Processing |
| 2041 | 5709 | Data Scientist - Machine Learning Engineer | Do you want to shape the future of enterprise software?> > At Aera Technology, we apply Internet scale technology to the challenges facing enterprise businesses. Think of the self-driving car: connected, always-on, thinking, and autonomous. Our mission is to enable companies in the same way.> > Aera Technology is looking for an expert Data Scientist to work from our Mountain View HQ. You will be working on new and challenging data science problems.>> Responsibilities You will be responsible for designing, implementing, monitoring and maintaining our machine learning systems that powers the Aera platform. You will be working in a highly collaborative environment with other experts in data science and engineering. You will be working on new and challenging data science problems.>>> About You B.E./B.Tech in Computer Science/Computer Engineering. 6-8 years of experience in engineering/architecture for building and implementing data products. Experience in implementing machine learning algorithms using APIs/libraries from scikit-learn, H2O, MLlib and TensorFlow. Experience in working with large data sets and pipelines, distributed systems for machine learning using frameworks such as Apache Spark. Expertise in Python. Experience with deploying applications using Docker and Kubernetes. Excellent verbal and written communication skills. You take complete ownership of your work and are self-driven.>>> Our Environment AWS hosted infrastructure Linux Spark Python>>> At Aera, we're on a mission to solve the biggest, most intractable challenges of enterprise software. We envision the rise of the Self-Driving Enterprise: a more autonomously functioning business with a central operating system that connects and orchestrates business operations. Our platform is increasingly used by the world's largest companies to identify and respond to market opportunities faster.> > If you share our passion for building the next generation of enterprise software and implementing it for the most sophisticated customers in the world, you’ve met your match. Headquartered in Mountain View, California, we're growing fast, with teams in Mountain View and San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia). So join us, and let’s build this!> > Aera Technology is an Equal Employment Opportunity. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, Aera Technology will consider for employment qualified applicants with arrest and conviction records.>>>> | Apache Spark |
| 169 | 348 | NLP Software Engineer, C++ | Summary Posted: Oct 23, 2018 >Weekly Hours: 40 >Role Number: 114326475>>> Come join the team that is bridging software, machine learning, and linguistics to power the world’s best software keyboards and text input systems. Apple’s Natural Language Processing team is seeking a talented software engineer to contribute to future versions of language-driven features on OS X, iOS, watchOS and tvOS. The successful candidate will be a talented C++ developer with excellent data structures and algorithms fundamentals who is also fascinated by language and dedicated to improving the way we communicate with our devices.>>> Key Qualifications>>> Expertise in C++ design, development & best practices Excellent understanding of algorithms and data structures Proficient in writing high performance/memory efficient code Familiarity with multithreaded programming Experience in the design of APIs and software architecture Excellent social skills & collaborative focus Passionate about quality and the little details>>>> Description>>> As a member of the team, you will work with a multi-faceted team of machine learning, NLP and software experts to design systems and architectures for handling natural language data. You will work on new innovative directions for the key codebases in the natural language and keyboards stacks, and gain exposure to cutting-edge technologies in machine learning and NLP. Your work will have a direct impact on all of Apple’s customers. The ideal candidate will also have one or more of the following: - 5+ years experience in software development - Programming experience with scripting languages such as Python, Ruby - Machine learning, statistics and/or natural language processing background - Multilingual fluency (English and another language) - Familiarity with Unix or Linux To learn more about what our team works on watch our WWDC sessions: https://developer.apple.com/videos/play/wwdc2018/713/ https://developer.apple.com/videos/play/wwdc2017/208/>>>> Education & Experience>>> Bachelor's Degree or higher in Computer Science or related discipline, or equivalent related experience>>>>>>> | Natural Language Processing |
| 3146 | 7215 | Machine Learning Developer | Overview >Modern Technology Solutions, Inc. (MTSI), is seeking an Machine Learning Developer in Huntsville. At MTSI, our more than 900 co-owners recognize the high demand for specialized professionals within our industry and that you have many options to choose. As an employee owned company were culture matters, we believe that by investing in our people we are investing in our company’s future!>> MTSI’s core capabilities run deep across a multitude of areas to include Systems Engineering & Technical Assistance, Integration, Modeling & Simulation, Test & Evaluation, Acquisitions & Program Support, and Mission Assurance services. Our expertise includes ballistic missile defense, air defense, air vehicle survivability, unmanned aircraft, flight test operations, intelligence support, cyber security, space and homeland defense.>> Join MTSI this year in celebrating our 25th consecutive year in business and consecutive growth. Our first core value is that employees come first. We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in our industry. All new co-workers start with 20 days PTO plus 10 federal holidays, 6% 401k company match with immediate vesting, semi-annual bonuses, and eligibility to participate in our Employee Stock Ownership Plan (ESOP). We offer other employee focused benefits, including up to $10k in tuition reimbursement and an optional zero dollar deductible BCBS health insurance plan.>> For additional company information, please visit: www.mtsi-va.com> >>>Responsibilities >We are seeking a Scientist/Engineer to join a high performing team supporting an MDA research program developing a next generation architecture for Ballistic Missile Defense Discrimination and Automated Threat Characterization.>> All experience levels, to include entry level will be considered. Candidate will work collaboratively in a team to assist in developing cutting edge algorithms for ballistic missile defense discrimination, scene and event characterization, contextual learning and estimation, sensor to sensor handover, and sensor signal and image processing. Candidate will help develop and test algorithms that will be used in field experimentation and conduct post-test analysis of sensor and algorithm performance. Highly creative and flexible approaches are the goal and out-side-box thinking is critical. >>>Qualifications Candidate should possess a solid working knowledge and experience base in the development of algorithms related to the technology areas above. Data for exploitation will be focused on EO/IR and RADAR sensor systems. Understanding these phenomenologies and sensors is highly useful although training by a team of subject matter experts is an expected part of the process. Algorithm areas of interest include detection, tracking, track association and correlation, machine learning, image processing, command and control, cognitive function, and discrimination.>> Experience with Neural networks, deep neural networks, cognitive processing in various domains (radio, radar, controls) and machine learning for classification or characterization is Highly desired. Experience with estimation techniques, kalman filters, extended kalman filters maximum likelihood estimation and similar technologies is also an area of interest.>> Software development skills and operating system experience include but are not limited to: Matlab, C/C++, Java Python, FORTRAN, Windows and Linux operating systems.Experience with the fusion multisource data is desired.Bachelors Degree in Physics, Mathematics or Electrical Engineering required. Advanced degree desired.Active Security Clearance required> Keywords:> Machine learning> Algorithm development> Software development> Software engineering> Simulation development> Architecture> Physics-based modeling> Discrimination> Estimation> Weapon target assignment> Artificial intelligence> Data analysis> Please Note: U.S. Citizenship is required for most MTSI positions.>>>>>>> | Neural Networks |
| 3534 | 7736 | Research Fellow - Machine Learning and AI | Temporary>>City Rochester State Minnesota Telecommute No Department Radiology Position description The Department of Radiology at Mayo Clinic in Rochester, Minnesota is seeking a qualified, postdoctoral Research Fellow for the multi-disciplinary CT Clinical Innovation Center directed by Dr. Cynthia McCollough. The successful candidate must hold a Ph.D. degree in Medical Physics, Biomedical Engineering, Electrical Engineering, Applied Physics, Computer Science or a related field. Candidates should have a strong background in machine learning, particularly in convolutional neural networks. Programming skills are required, particularly with Python and current machine learning toolsets such as TensorFlow and Keras. Familiarity with X-ray physics and imaging science, particularly computed tomography (CT), is highly desirable. Candidates must have a record of research publications and have excellent oral and written English communication skills. Candidates should have a strong interest in a future career in academia or industry. Candidate will be expected to publish significant research findings and apply for extramural funding. A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants. Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors, Specialists, and Student Interns sponsored by Mayo Clinic. Please attach the following required documents at the time of application. Current curriculum vitae and bibliography Three letters of recommendation, signed, on letterhead, describing: Relationship to the applicant. Past work/academic performance. Work qualities/personal conduct. Overall assessment of potential for success in research environment. Doctoral degree: Original or notarized copy of diploma or final transcript issued by school (English translation required). 800146; J2WRTP Qualifications The successful candidate must hold a Ph.D. degree in Medical Physics, Biomedical Engineering, Electrical Engineering, Applied Physics, or a related field. Benefits eligible Yes Schedule Full Time Site description Mayo Clinic is located in the heart of downtown Rochester, Minnesota, a vibrant, friendly city that provides a highly livable environment for more than 34,000 Mayo staff and students. The city is consistently ranked among the best places to live in the United States because of its affordable cost of living, healthy lifestyle, excellent school systems and exceptionally high quality of life. Category Postdoc & Temporary Research Career profile Post Doctoral Research Specialty Radiology, Research Job posting number 111454BR Recruiter Katrina Giese Equal opportunity employer Mayo Clinic is an equal opportunity educator and employer (including veterans and persons with disabilities). Email>> | Neural Networks |
| 812 | 2071 | Systems Engineer II | Calling 2019 grads! Are you a college student who enjoys putting complex engineering systems together, testing and attempting to break them? Would you like to understand the possible modes of failure, developing fixes or redesigns, retesting and ultimately fielding a system which will perform with NoDoubt each and every time? These positions are 2019 starts! Are you about to graduate with a degree in Electrical Engineering, Computer Engineering, Systems Engineering, Aerospace Engineering, Mechanical Engineering, or Computer Science who is interested in becoming a Systems Engineer and working in integration, test and validation activities? Then you might be ready to begin your professional career as an engineer within Raytheon’s IDS Systems Validation, Test and Analysis Directorate (SVTAD). IDS Engineering’s Systems Validation, Test and Analysis Directorate (SVTAD) is the central focus for integration, test and validation activities. SVTAD employees provide the expertise to ensure customer success through the development and execution of innovative and comprehensive test, verification, and validation strategies, processes, tools and techniques. SVTAD employees are involved in all aspects of test including: design-for-test, integration, subsystem and component level testing through sell-off of IDS ' most sophisticated systems and technologies. SVTAD's System Engineers work with the other IDS directorates and Integrated Business Teams from initial concepts to product sell-off, assisting in the integration and testing of hardware and software, developing test plans and procedures, debugging and testing systems functions and interfaces, and by conducting performance evaluation, system verification, live fire readiness reviews and system sell off. As Systems Engineers, we work within an interdisciplinary process that ensures that the customer's needs are satisfied throughout a system's entire life cycle. This process is comprised of the following seven tasks: 1. State the problem. Stating the problem is the most important systems engineering task. It entails identifying customers, understanding customer needs, establishing the need for change, discovering requirements, and defining system functions. 2. Investigate alternatives. Alternatives are investigated and evaluated based on performance, cost, and risk. 3. Model the system. Running models clarifies requirements, reveals bottlenecks and fragmented activities, reduces cost and exposes duplication of efforts. 4. Integrate. Integration means designing interfaces and bringing system elements together so they work as a whole. This requires extensive communication and coordination. 5. Launch the system. Launching the system means running the system and producing outputs - making the system do what it was intended to do. 6. Assess performance. Performance is assessed using figures of merit, technical performance measures, and metrics - measurement is the key. If you cannot measure it, you cannot control it. If you cannot control it, you cannot improve it. 7. Re-evaluation. Re-evaluation should be a continual and iterative process with many parallel loops. U.S. Security Clearance within 1 year of start date. U.S. Citizenship status is required. Basic Qualifications: Candidates must be currently enrolled in an undergraduate degree program resulting in a MS in Electrical Engineering, Computer Engineering, Systems Engineering, Aerospace Engineering, Mechanical Engineering, Computer Science, or related engineering or science curriculum Desired Qualifications: Engineering project, internship or co-op experience Educational background or interest in the following areas: o Radar Architecture or Algorithms o Signal Processing and Control theory o Model based engineering and architecture o Statistics, random processes and detection methods o Imaging / pattern recognition o Cyber security, encryption, information assurance o Data filtering and processing techniques (e.g. Kalman, batch, optimal) Strong analytical skills are desired, and prior experience working in MATLAB or equivalent analytical programming languages is desired (Java, C++, Visual Basic, etc). Relevant work or project experience in algorithm design, requirements development, and software/hardware integration and configuration management would also be beneficial Excellent written and oral communication skills Ability to pursue information (“self-starter”) Ability to work in a collaborative team environment Authored Technical Papers and / or Technical Presentations Active Secret clearance Leadership or participation in college campus organizations, athletic teams, or community service groups Familiarity with Microsoft Office toolset (Word, PowerPoint, Excel) Minimum Cumulative 3.0 GPA Sound like the kind of team where you can make a significant contribution? Then you need to apply now. Please join us in our mission! All these job responsibilities are to be executed in harmony with Raytheon's Code of Business Ethics and Conduct policy which sets the standard by which we operate and how we treat others.> 123003 Raytheon is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.>> | Pattern Recognition |
| 1478 | 3481 | Data Science Engineer - Machine Learning | H5’s Data Group is looking to add a Data Science Engineer to support legal electronic discovery projects. The ideal candidate will draw on his or her technical experience to address complex data needs by providing analytic insights, creating and executing technical solutions, and taking responsibility for projects’ data-related needs. The Data Group’s priorities are balanced between executing fast-moving projects full of intriguing data, responding to immediate requests, and proactively designing tools for emerging needs. This is based in Chicago and not a remote position. The successful candidate will have either US Permanent Residency (Green Card) or be a US Citizen. We are unable to offer any visa sponsorship for this role. Responsibilities: Develop and execute complex data manipulation and analytics for text data Clean and process semi-structured and unstructured data Identify, develop and extend applications and libraries for recurring project needs Assist with data intake and data management across projects Work with cross functional teams to identify and respond to complex technical needs Ensure a documented, high quality process and result Competencies: Effective, innovative problem solving: learn quickly and rapidly arrive at a working solution Understand and craft solutions for non-technical users Meet deadlines while supporting multiple projects Work independently and take ownership of technical details for an entire project Qualifications: B.S. in Computer Science or related field is required. Graduate studies or degree are a plus. Κnowledge of machine learning and NLP techniques preferred Strong coding and debugging skills in Python 2+ years of work experience Experience with Linux is preferred Experience using SQL for data insight and manipulation a plus Experience working with Spark and large data sets preferred H5 is an Equal Opportunity Employer and supports the hiring of our Veterans>> | Machine Learning |
| 3359 | 7520 | Data Engineer - Finance | >Qualifications 4 year university degree, in a quantitative discipline (e.g., statistics, mathematics or econometrics, economics, ops. research or any related field, e.g. finance) Strong knowledge of statistical approaches, incl. advanced machine learning techniques (e.g., Support Vector Machines, Neural Nets, Deep Learning, Machine Learning) and/or optimization Fluent in two or more programming languages (e.g., R, Python, Julia, SQL, GMPL, or related), and knowledge of typical frameworks (e.g., TensorFlow) Experience with relational databases and data manipulation tools like Oracle, Access, Tableau and Alteryx is a definite plus Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions; experience working with real-world (messy) data Demonstrated enthusiasm, influence and innovation with a passion for automation Ability to work in virtual teams and manage self and work collaboratively with others to jointly derive at the distinctive end products Able to structure new and sometimes ambiguous problems in a way that creates clear deliverables and outputs Proven ability in clearly communicating complex solutions with a distinct customer focus and quality mindset Exceptional attention to detail Excellent written and verbal communication skills with ability to describe analytic processes and insights in a clear simple way that resonates with others Strong multi-tasking abilities, flexibility, and patience in a fluid environment Integrity, maturity and ability to adhere to the highest professional standards Significant hands-on work experience in statistical or heavy numerical analyses Data security and governance expertise >>>Who You'll Work With You’ll work with our Client Service Analytics & Measurement team in Waltham, MA. Our Client Analytics and Measurement team designs and executes projects supporting McKinsey’s client mission to help our clients make distinctive, lasting, and substantial improvements in their performance. The team is a collection of bright, highly motivated researchers with varied backgrounds focused on driving insight and action around key strategic issues at McKinsey. You'll work in a highly collaborative environment, and partner with other teams within the firm to deliver meaningful innovation in people analytics. You will also be fully integrated in the Waltham Firm Finance Team that provides a broader community and development opportunities on a day to day basis. >>What You'll Do You will be responsible for data integration and process automation for a fast-paced and transformational team. You will also be responsible for the support and maintenance of critical infrastructure. You will work closely with McKinsey's IT and business organizations on strategic initiatives across the people systems space. You'll have the opportunity to leverage your passion for using technology to transform processes and you'll proactively stay up to date on technology trends. This role will provide you with the chance to further strengthen and develop your skills through exposure to an inspiring group of firm leaders, the opportunity to build a global network, a distinctive blend of data structuring, analyses and problem solving, and focus on implementation. To be successful, we expect that you establish yourself as a core member of the team whose expertise and insights effectively contribute to the priorities and whose positive collaborative attitude and sense of humor contributes to our team spirit.>>>> | Neural Networks |
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| 2533 | 6346 | Senior Speech Engineer/Scientist | Baidu's Duer OS Business Unit (http://dueros.baidu.com/ ( http://dueros.baidu.com/ )) is looking for bright interns in its newly established office in downtown Bellevue, Washington. You will be working with the founding members of KITT.AI (now a subsidiary company of Baidu), on its NLU engine https://nlu.kitt.ai ( https://nlu.kitt.ai/ ), Conversational Engine https://chatflow.kitt.ai ( https://chatflow.kitt.ai/ ) or Hotword Engine https://snowboy.kitt.ai ( https://snowboy.kitt.ai ). You will be also working with Duer OS's Beijing team on numerous voice-enabled devices and its bot platform. Education Required: Master's or PhD degree in EE, CS, NLP, Speech, or AI. Research Skills Preferred: Must have, through employment or graduate-level research/coursework, experience with most of the following: Basic machine learning algorithms, including common supervised/unsupervised, classification/regression, generative/discriminative algorithms. Speech recognition, including FFT, MFCC/PLP, acoustic model, language model, GMM, HMM, DTW, FST, LSTM RNN/CNN, etc. ASR software, such as HTK, Sphinx, Kaldi Deep learning framework, such as Kaldi, TensorFlow, PaddlePaddle, CNTK, Caffe Microphone array and DSP basics Engineering Skills Preferred: Must have, through employment or graduate-level research/coursework, experience with some of the following: C++/C or Python Embedded programming (C, ARM, DSP, etc) Parallel computing and optimization on CPU and GPU Culture Fit: Mission alignment: If you want to be part of a team to accomplish this great mission, we will provide you the best possible platform to do that. Self-directed: We work best with people that are driven, motivated, and aspire to greatness. Are you the sort of person that, if you had time on your hands, will independently find interesting and useful things to do? Hungry to learn: We are eager to see you learn new skills and grow. But learning is hard work and this is something we hope you want to do. Team orientation: We work in small, fast-moving teams. We don't believe in lone wolves. We watch out for each other and go after big goals together as a team > | Speech Recognition |
| 100 | 237 | Data/NLP Scientist | AnswerIQ is looking for Data Scientists to join our data science team. Our data science team dedicate to apply Natural Language Processing and Machine Learning in the enterprise customer support space, as well as provide data analytic service to our customers. We develop sophisticated algorithms and applications to automate the customer service including responding the ticket, classifying ticket issues, engaging conversations with customers. You will build, evaluate and improve customized ML models for our customers; work with customers to analyze customer dataset and translate data-driven insights into decisions and actions; run ML experiments and develop algorithms to improve AnswerIQ ML/NLP engine. Qualifications (Required) Master or higher degree in computer science, statistics or mathematics with focus on machine learning and natural language processing; data science experience in industry is preferred Strong knowledge in machine learning and statistics (classification, regression, recommendation, clustering, boosting, graphical models, etc.) Familiar with machine learning and analytics libraries (Scikit-learn, MLlib, etc.) Experience with deep learning frameworks (Tensorflow, CNTK, Mxnet, Keras, etc.) Experience with data manipulation and analysis tools (Pandas, Pig, Hive, Spark, etc.) Experience in applying and implementing NLP algorithms, especially in the following areas: information extraction, topic modelling, semantics analysis, question answering Strong programming skills in Python, SQL, R and at least one object oriented programming language (Java, Scala, C++, etc.) Knowledge of visualization tools (D3.js, Tableau, etc.) Great communication skills, curiosity about data, and passion about the business>> | Natural Language Processing |
| 3696 | 7907 | Data Scientist – AI Machine Learning – Investment Management | Data Scientist – AI Machine Learning – Investment Management-826780> > At Franklin Templeton Investments, we are dedicated to delivering strong results and exceptional service to clients, team members and business partners. Over 9,000 employees working in 60 offices around the world are dedicated to servicing investment solutions for our clients in more than 150 countries. For over 65 years, our success has been a direct result of the talent, skills and persistence of our people, and we are looking for qualified candidates to join our team. >>Machines can consume and analyze more data than humans. This is why our team at Franklin Templeton wants you. We recently acquired Random Forest Capital LLC to bring Machine Learning and AI to the investment teams at Franklin Templeton. With over $700 Billion in assets under management, we are looking to expand our team of individuals to come help create solutions that will be used to invest real dollars every day. The future is here and we want you to be a part of it. This role demands confidence, risk taking capabilities and desire to produce code at lightening speeds which will be used to invest capital. >>Things you should know:> > At Franklin Templeton, your contribution as a Data Scientist will have a direct impact on our investments. There is no hiding behind code that is never put into production – we want leaders, pioneers, and dreamers. We are not looking for a research team. We are looking for an execution team. >>We are using data to get answers to massive questions:> > Why do consumers live the way they do? Why do consumers spend the way they do? Why do people invest the way they do? Where will the next natural disaster happen? > Can you figure out the answers to these questions? If so, we want to hear from you….> > We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter and better investment decisions. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction software that we can leverage on a global scale within our investment processes >>What are the ongoing responsibilities of the Data Scientist?> Partnering with investment teams to provide machine learning / AI / Data Analysis expertise to enhance investment decisions and returns> Engaging Chief Investment Officer (CIO) and Portfolio Managers in investment team meetings; present and share investment ideas, insights and results> Selecting/creating features from raw data, and building/optimizing classifiers using machine learning techniques >Data mining using state-of-the-art methods >Extending the data used in modeling with third party sources of information >Processing, cleaning, and verifying the integrity of data used for analysis >Conducting ad-hoc analysis and presenting results in a clear manner >Creating automated data consistency checks (e.g. between live/historical data) and unit testing techniques to ensure ongoing model performance> > What ideal qualifications, skills experience would help someone to be successful?> Masters or PhD with 2+ years of coding and data science experience.> Requires advanced skills in Python- especially Pandas> Must be able to output code in Python at a rapid rate >Experience with supervised/unsupervised machine learning techniques, especially tree-based algorithms and k-means clustering. Neural networks experience is a plus, especially with RNNs and CNNs >Experience modeling and making sense of complex systems> Must have at least 4+ years of coding experience. >The applicant must have a strong underlying coding ability >Must have strong applied statistics skills, such as understanding of distributions, hypothesis testing, and probability >Must have a passion for trading/investing. Any past trading/investing experience, either personally or professionally, is a plus >Great communication skills and experience with data visualization tools in Python >Proficiency in SQL is a plus. Must be able to write basic queries at minimum >Experience with high performance computing is a plus (e.g. cluster computing on AWS with Spark/Hadoop) >Masters/PhD in a quantitative discipline is a plus, but is not required> What makes Franklin Templeton Investments unique? >>In addition to the dynamic and professional environment at Franklin Templeton, we strive to ensure that our employees have access to a competitive and valuable set of Total Rewards—the mix of both monetary and non-monetary rewards provided to you in recognition for your time, talents, efforts, and results. >>Highlights of our benefits include: >Three weeks paid time off the first year Medical, dental and vision insurance 401(k) Retirement Plan with 75% company match on your pre-tax and/or Roth contributions, up to the IRS limits Employee Stock Investment Program Tuition Assistance Program Purchase of company funds with no sales charge Onsite fitness center and recreation center Onsite cafeteria >We believe that being a good corporate citizen is good business. To us, corporate citizenship means being accountable, serving our clients, being an employer of choice, managing our environmental impact, and supporting our communities. An emphasis on corporate citizenship is embedded in our culture and values, and is an important element of how we achieve success. >>We are also committed to your learning and development with resources focused around Experience, Exposure, and Education, to help you achieve your professional development goals. Take some time to, meet some of our people, and see what it means to say, “I AM Franklin Templeton”.> > Franklin Templeton Investments is an Equal Opportunity Employer. We are committed to equal employment opportunity for all applicants and existing employees and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. We invite you to visit us at http://www.franklintempletoncareers.com/ to learn more about our company and our career opportunities. >>#LI-US #ASSOCIATE>> JOB FUNCTION: Portfolio Management> PRIMARY LOCATION: United States-California-San Mateo> SCHEDULE: Full-time> JOB POSTING DATE: Jan 29, 2019, 1:29:24 PM>>> | Neural Networks |
| 19 | 67 | NLP Intern | Internship>>Are you passionate about NLP? Are you curious about what we might be doing with it at Bose? If you are, this internship might be for you. As a technical intern on our Natural Language Processing team in our Central Data Organization, you will work closely with staff to develop and enhance tools, infrastructure and processing to support a range of applications in the natural language processing space. For instance, you might help us with our text/data mining and analytics on our "voice of the customer" data. We use these outputs to help make our products even more amazing. Or, you might help us evaluate or prototype technologies for potential future uses. You'll have a chance to work on up-and-coming technologies and prototypes in a fast-paced, highly collaborative, agile team that will value your creativity, your positivity and your ability to get results. You'll gain experience in end-to-end development from requirements gathering through to testing your software and even possibly seeing it put into use. You'll also gain experience in real-world applications of natural language processing technologies and components, potentially ranging from word embeddings to ontologies to topic modeling. The work you will do may be in support of our internal customers who will use and leverage the tools, infrastructures and processing you build to make their work more efficient, more effective and more robust. It could also be work that has a direct impact on current or future products. The things you develop may include automation capabilities, data extraction capabilities, user interface development for carrying out text analytics/NLP tasks, data harvesters, search capabilities, sentiment analysis, topic modeling and possibly a number of natural language processing applications applicable to the real-world. You'll have a chance to add value to forward-looking solutions. And, you'll get regular opportunities to demo and present your work to the team and stakeholders. So, what are we looking for? Background in NLP , computational linguistics, text analytics and/or machine learning Innovative and collaborative mindset Outgoing and action-oriented - capable of independently solving technical problems Outstanding communication and interpersonal skills Eager and willing to take prototypes to the next level to create stable, robust, usable solutions Excellent creative problem-solving skills Programming background Familiarity with Github and cloud-based systems a plus Experience working with Python and/or Java Strong scripting and prototyping skills Bose is an equal opportunity employer that is committed to inclusion and diversity. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. For additional information, please review: (1) the EEO is the Law Poster (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf); and (2) its Supplements (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm). Please note, the company's pay transparency is available at http://www.dol.gov/ofccp/pdf/EO13665_PrescribedNondiscriminationPostingLanguage_JRFQA508c.pdf. Bose is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the application or employment process, please send an e-mail to Wellbeing@bose.com and let us know the nature of your request and your contact information.>> | Natural Language Processing |
| 810 | 2069 | Assistant , Associate, or Professor of Professional Practice | >The University of Missouri (MU) Center for Geospatial Intelligence (CGI) is accepting applications for the position of Assistant, Associate, or Professor of Professional Practice. The CGI, in collaboration with the MU Data Science and Analytics program, delivers a comprehensive Program of Study in Data Science (PSDS) to agencies within the U.S. Department of Defense (DoD) and Intelligence Community (IC). In today’s information-centric world, data are becoming increasingly important for the success of government endeavors as well as businesses. The PSDS curriculum covers the entire life-cycle from data ingestion and conditions at source through to intelligence, automation, and decision making products. The demand for data scientist skills within the U.S. DoD/IC has exploded in recent years and this growth is expected to continue into the foreseeable future. The CGI conducts interdisciplinary research in wide variety of areas including, but not limited to: satellite, airborne, and ground-based remote sensing, high performance computing for geospatial data analytics, automated feature extraction, change detection, pattern recognition, machine learning, video processing and surveillance, human geography and modeling, and many others. Over the last 10 years, the CGI has managed grants and contracts totaling more than $30M from a diverse group of DoD/IC agencies including NGA, U.S. Army, AFRL, DARPA, and numerous defense companies that support these agencies. By leveraging multi-disciplinary research skills of its interdisciplinary faculty, the CGI is the leading academic research center in the U.S. focused on geospatial intelligence needs for defense, intelligence, and national security applications. Accordingly, we invite applications from individuals with demonstrated experience in data science and analytics, as well as big data computational ecosystems. Applicants should have experience working in data-intensive computing environments. The successful applicant must have working knowledge of both Python and R and their use for data analytics and interfacing to big data ecosystems. Additional experience in data visualization, applied machine learning, statistical modeling, and data mining are highly preferred. The successful applicant will assist in the delivery of training courses to the government at various sites in the U.S. and possibly overseas, as well as assist in the development and refinement of Data Science and Analytics courses. Applications for non-tenure track positions are solicited at any rank, but with a preference for the Assistant / Associate Professor levels. >>>> Qualifications >Degree and experience should be in data science, computer science, applied statistics, or a closely related field. The qualified candidate should have a strong background in data science and analytics using computational tools and methods; and experience with big data computational ecosystems. Experience working on projects for the federal government is desired. The successful candidate must be eligible for and willing to obtain a U.S. Government security clearance. >>>> Application Materials >Applicants should submit a CV and a list of three to five professional references. >>>> Salary >Commensurate with education and experience. >>>> Benefit Eligibility >This position is eligible for University benefits. The University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, and educational fee discounts. For additional information on University benefits, please visit the Faculty Staff Benefits website at http://www.umsystem.edu/totalrewards/benefits Diversity Commitment The University of Missouri is fully committed to achieving the goal of a diverse and inclusive academic community of faculty, staff and students. We seek individuals who are committed to this goal and our core campus values of respect, responsibility, discovery and excellence. Equal Employment Opportunity Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, protected veteran status, or any other status protected by applicable state or federal law. This policy shall not be interpreted in such a manner as to violate the legal rights of religious organizations or the recruiting rights of military organizations associated with the Armed Forces or the Department of Homeland Security of the United States of America. For more information, call the Vice Chancellor of Human Resource Services/Affirmative Action officer at 573-882-4256. To request ADA accommodations, please call the Disability Inclusion and ADA Compliance Manager at 573-884-7278. EEO IS THE LAW To read more about Equal Employment Opportunity (EEO) please use the following links: EEO is the Law English Version EEO is the Law Spanish Version EEO is the Law Chinese Version>>>>>> | Pattern Recognition |
| 2433 | 6217 | Customer Experience Specialist I | A> >> >>>re you an experienced Customer Service professional motivated to leverage a customer centric approach to assist home owners in a highly visible position? LoanCare, one of the leading national providers of full service subservicing and interim subservicing in the mortgage industry, seeks an individual with a history of progressive experience delivering service that exceeds expectations in a growing and inspiring industry. The ideal candidate will be a dynamic individual who rigorously advances our mission while consistently delivering exceptional service. If you possess presence and confidence in your ability to promote our core values of entrepreneurship and empowerment, now is the time to join our team and become a part of something big.> > > >A DAY IN THE LIFE > >In this role, you will…> Assist homeowners with routine or complex issues and requests, in a call center environment Use an advanced telephony system Explain mortgage based process information Make decisions to resolve customer issues Navigate and enter data on a computer platform Provide exceptional customer service >WHO YOU ARE> > You possess …> Enjoy speaking to customers over the phone Understanding of mortgage servicing; escrow, taxes, payment application Desire to helps your peers, your team, and all around you because you are highly driven and lead by example Analytical ability to apply data and information to all processes and solutions Ability to provide consistent engagement in customer and brand experience >WHO WE ARE> >About us …> >LoanCare, a ServiceLink company, is a leading national provider of full service subservicing and interim subservicing to the mortgage industry and has offered its expertise and best practices in providing servicing solutions for others since 1991. At the present time, LoanCare subservices over 1 million loans in 50 states. LoanCare has a seasoned loan servicing team with senior managers averaging nearly 30 years of experience in the mortgage and financial services industry.> >LoanCare is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, protected veteran status, national origin, or any other characteristic protected by applicable law.> > > >DETAILED JOB DUTIES> Handle inbound and outbound calls from customers in a fast-paced environment, while maintaining established performance metrics expectations and delivering quality service to our customers Take ownership of the Customer Experience, as well as demonstrate attributes in accordance with the LoanCare Brand Experience expectations Utilize good judgment and understanding of process and procedures to effectively make decisions to resolve customer issues Obtain and evaluate all relevant information to handle inquiries and complaints accurately and efficiently Accurately track and document all communications with customers to provide a detailed history of contact Assist with identifying root causes and explain the best solution to resolve customer concerns in an expedient manner Achieve monthly individual and team based targeted performance goals Follow escalation procedures to address customer concerns requiring additional research or resources to resolve Direct requests and unresolved issues to the designated resource All other duties as assigned >> Qualifications > MINIMUM QUALIFICATIONS> High school diploma, general education degree or equivalent Two (2) years of Call Center or Customer Service experience preferred Knowledge of customer service principles and practices Excellent communication skills Attention to detail and accuracy Problem-solving skills and problem analysis Basic mortgage product knowledge preferred >WORK CONDITIONS> > Working conditions are normal for an office environment. Ability to attend work and be productive during normal business hours and to work early, late or weekend hours as needed for successful job performance. >>EQUAL OPPORTUNITY POLICY> >LoanCare is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, protected veteran status, national origin, or any other characteristic protected by applicable law.> > Essential functions are the basic job duties that an employee must be able to perform, with or without reasonable accommodation.> > >ESSENTIAL FUNCTIONS> > Overtime – Required as necessary >>Critical Thinking — Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.> >Reading Comprehension — Understanding written sentences and paragraphs in work related documents.> > English Language — Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar.> > Speaking — Talking to others to convey information effectively.> >Active Learning — Understanding the implications of new information for both current and future problem-solving and decision-making.> > Active Listening — Giving full attention to what other people is saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.> > Instructing — Teaching others how to do something.> >Judgment and Decision Making — Considering the relative costs and benefits of potential actions to choose the most appropriate one.> > Time Management — Managing one's own time and the time of others.> >Writing — Communicating effectively in writing as appropriate for the needs of the audience.> > Complex Problem Solving — Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.> >Deductive Reasoning — The ability to apply general rules to specific problems to produce answers that make sense.> > Problem Sensitivity — The ability to tell when something is wrong or is likely to go wrong. It does not involve solving the problem, only recognizing there is a problem.> > Written Comprehension — The ability to read and understand information and ideas presented in writing.> > Inductive Reasoning — The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).> > Information Ordering — The ability to arrange things or actions in a certain order or pattern according to a specific rule or set of rules (e.g., patterns of numbers, letters, words, pictures, mathematical operations).> > Near Vision — The ability to see details at close range (within a few feet of the observer).> >Oral Comprehension — The ability to listen to and understand information and ideas presented through spoken words and sentences.> > Oral Expression — The ability to communicate information and ideas in speaking so others will understand.> > Speech Recognition — The ability to identify and understand the speech of another person.> > Speech Clarity — The ability to speak clearly so others can understand you.> > >PHYSICAL DEMANDS >> Sitting up to 95% of time >Walking up to 5% of time> Occasional standing, stooping, kneeling, crouching and reaching> > >>LoanCare is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. >> Job: Operations All Other >> Primary Location: VA - Virginia Beach >> Organization: LoanCare Servicing Operations >> Job Posting: Dec 31, 2018, 1:27:12 PM>>> | Speech Recognition |
| 1643 | 4509 | Advisor-IS-Experienced (IS Compliance Analytics) | $94,000 - $117,500 a year>>Job Sensitivity Tier II - No Credit Check Mod> Job Summary:> As part of the Cyber Analytics and Compliance Reporting team, the IS advisor will provide collaborative or consultative work in areas of information security with varying complexity to provide support for the design, implementation, of information security and compliance analytics reporting solutions. The IS advisor will work with cross-functional teams to coordinate, plan and execute solutions to meet information security and compliance analytics and dashboarding needs of stakeholders. The IS advisor will have the understanding and expertise to correlate various security data from disparate sources and develop metrics to tell a story around the Federal Reserve’s security posture. The ability to communicate effectively is required as the IS advisor will work closely with various groups across the enterprise, including development and testing efforts to ensure the successful delivery of data analytics solutions. The IS advisor will employ cutting edge technologies that are part of the Hadoop ecosystem, which includes tools used for data integration, data modeling, and data analytics. The IS advisor will also have information security compliance knowledge to support the team in analyzing compliance data to provide stakeholders a comprehensive view of the Fed Reserve’s compliance posture. This position requires a seasoned professional with a full understanding of industry practices in information security compliance (NIST, COBIT). Requires high level of experience and proficiency in field. >>Principal Duties and Responsibilities: Provides consulting services to clients in order to evaluate, recommend, design and implement information security solutions and process improvements in areas related to information security.> Identifies client requirements by establishing personal rapport with all clients and internal/external resources to understand business and information security requirements.> Develops knowledge of supported client areas and builds relationships by assessing, evaluating and fully understanding the needs and requirements of clients.> Reviews data and assisting in advising clients on best practices and how to implement the necessary changes to address their business and information security needs.> Provides strategic support to clients and leaders in moderate situations.> Leads process improvement and long term information security solution discussions and presents outcomes in written and verbal format to senior management.> Key participant in project development surrounding new processes and the integrating of new processes with existing ones. Assists in developing communications of these changes to impacted clients and other resources.> Performs other related duties as assigned.> Education/Experience:> > Bachelor's Degree or equivalent experience with 3 to 5+ years of relevant work experience. Progressive knowledge pertaining to concepts and principles in functional area of information security compliance and compliance analytics. General knowledge of department/business lines, Reserve Banks, and / or System operations, policies, procedures and technologies. Knowledge of NIST and COBIT preferred. Knowledge of Hadoop ecosystem, machine learning algorithm/ text analytics, programming skills in Java or Python or Scala or other scripting language etc. Knowledge of shell scripts and commands. Information security certifications preferred. >>Communications: Strong interpersonal, negotiation, creativity, attention to detail, and oral and written communications skills tailored for the intended audience. >>Risk Management: The individual is responsible for understanding and applying risk management discipline in decision making, and contributing to his or her function`s risk management.> Decision Making: Works under direction with infrequent checks; follows established methods and clear-cut policy. Makes decisions when general instructions or established methods indicate action to be taken.> > Other/Additional Requirements: > Working Conditions: Will require the use of standard office equipment such as computers, phones, photocopiers, etc.> > Physical Demands: Requires some degree of sitting (for prolonged periods of time), standing, lifting carrying, pushing, pulling less than 20 lbs.> > Hours of Work: May require extended work hours. Occasional travel including overnight stays may be necessary. Travel 10% or less.> > Denotes essential duties and/or any physical requirements required to perform essential duties for the role. > Other Considerations:> > The hiring range is $94,000 - $117,500, annually.> Candidate should review the FRB Employee Code of Conduct to ensure compliance with issues related to previous employment and prohibited financial interests. The Code is available on the About Us, Careers webpage at http://www.richmondfed.org> The deadline to apply for this opening is February 24, 2019.>>>>>> | Text Analytics |
| 2274 | 6005 | Sr. Principal Data Analyst | Working in a team environment, the Data Scientist will be responsible for the creation of new capabilities within SAIC’s Analytics Solutions Technology Group by envisioning and executing strategies that will influence improvement of the business’s performance by enabling informed decision-making.> >The successful candidate will proactively work with senior leadership across the business in order to provide advanced analytic data modeling systems. They will design and launch innovative and complex analytic models, utilizing a blend of contemporary and traditional data mining techniques, which is applied to both structured and unstructured data sets. As part of a team, they will develop big data capabilities and utilization as well as the coordination of cross-functional analytic initiatives.> >Position Description: >The successful candidate will identify and monitor key business risks and realize the data needs of the business. They will engage in proposal activities and ensure alignment with the vision and strategies of the Analytics Solutions Technology Groups.> This is an Engineering position, which will provide for Research and Development activities in areas such as enterprise deployment of deep neural networks, integration with big data analytics platforms including Apache Spark, Apache Hadoop and SAIC analytics products as an example.> Develop functionality in an agile fashion, with regular releases Learn new technologies and techniques from efficient GPU programming, C, CUDA, Python and Java code Design and develop analytics solutions and products for production use Prototype new technologies and approaches to assess alternatives Work as part of an agile team, delivering new functionality on a regular cadence Work in a collaborative and fast-paced fun team environment with effective communication and assisting peers. Be an asset and contributor to the team. Work with a group of Machine Learning engineers, data scientists and product managers Distill business objectives into technical solutions through effective system design and architecture Show ownership and completion for delivery of technical functions Provide technical and analytical solutions to evaluate the merits and challenges of a product idea Perform high complexity integration testing, distributed development and validate integration > Qualifications BS is required. BS, MS or Ph.D in Computer Science, Engineering, Mathematics, Science or other related technical discipline is preferred. 14+ years of experience managing or supporting in a significant role, the acquisition, integration, and acceptance lifecycle of one or more complex computational systems or system upgrades in a mission critical or production R D computational environment. 3+ years of full time programming experience within an operations or technical department. Understanding of programming concepts and application development. In-depth understanding of one or more computational technical areas such as advanced modeling and simulation. Domain knowledge in artificial intelligence and machine learning Demonstrated ability to manage complex projects, creating innovative processes and solutions Problem solving and analysis skills Strong written and verbal communication skills Experience working for federal agencies in a consulting position Experience specifying user-representative requirements for complex computational environments Must be US Citizen> Clearance is not required, but is preferred.> Work Location is Reston, Virginia. Travel is up to 25%.> Overview SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability>> | Apache Spark |
| 1256 | 3167 | Hardware and Software Machine Learning Performance Intern | Internship>>This position requires working full-time at the Fort Collins, Colorado site during the summer of 2018. This is a technical position located in the R D lab of the Workstations Division. The candidate will work with the Workstation Software, Performance and Machine Learning teams writing code to create and maintain tools that validate and/or certify various performance on HP’s Desktop and Mobile Workstations Responsibilities include, but are not limited to: Set up and configure workstations for testing and benchmarking Perform comprehensive list of benchmarks for machine learning development and deployment Maintain database of performance data. Automate benchmark execution and uploading results into a database Work with R D engineers to analyze and present performance for various audiences Work with R D engineers to duplicate system performance issues and problems Work with R D engineers to setup and run experiments to explore performance optimizations to increase customer application performance Develop new benchmarking tools Education and Experience Required: Four-year university student currently in Junior year Computer Science, Computer Engineering, or related major Some programming expertise C/C++, Python or similar OS: Windows, Linux (Suse, RedHat, Ubuntu) is a plus Basic understanding of Modern Computer Architecture (e.g. GPU Compute Graphics) with a desire to learn more Skills: Able to operate independently based on instructions from team members Independently solve moderately complex problems Effectively communicate observations and results Understand overarching goals of projects and gauge effectiveness of work towards the goals Balance work and school efforts to meet project timelines Understand overarching goals of projects and gauge effectiveness of work towards the goals>> | Machine Learning |
| 2326 | 6066 | Statistician/ Data Scientist Level IV with TS/SCI clearance | Serves as a top level technical or functional expert, often working on multiple projects and programs.> > Position Overview> Provide statistical and mathematical support in assisting NGA analyze and interpret a wide range of data to help NGA understand and improve our customer’s experience.> Ability to leverage a range of data sources (e.g., Web traffic, customer requests for information, survey responses, production databases, etc.) for an understanding of what drives a positive customer experience.> Provide insights that will be used to inform NGA strategy and decisions, in partnership with teams examining Website design, customer interactions, featured content, and future GEOINT products and services. Works with various stakeholders to develop business questions and identify the data necessary to analyze to answer those questions. Collaborate across a diverse team of statisticians/data analysts.> Utilizes industry standard communication and visualization tools to visualize and communicate complex quantitative information and analysis to senior executives.> Applies business analytics and customer segmentation techniques in any corporate function, e.g. marketing analytics, consumer analytics, operations analysis, human capital analytics, or other relevant fields.> Uses data mining for structured and unstructured information to join and explore relationships in disparate data sets.> Applies advanced analytics capabilities to derive insights from a combination of unstructured, semi-structured, and structured data. Maintains, moves, and manipulates data between applications, using appropriate software: Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves.> Strength in collaboration and teamwork within, between, and across organizational boundaries. Demonstrates good oral and written communication skills, along with good interpersonal skills and an ability to work cooperatively and effectively as a team member.> > 1. Serves as a top level technical or functional expert supporting one or more clients and unlimited user groups.> > 2. Performs highly specialized technical tasks associated with cutting-edge technologies.> > 3. Works with user groups to solve business problems with available technology including hardware, software, databases, and peripherals.> > 4. Applies expert functional knowledge and experience to significant business projects or processes.> > 5. May perform business development activities, including providing technical input to proposal efforts.> > 6. Provides guidance and training to less experienced staff.> > 7. May serve as a technical task or project leader.> > 8. May have supervisory responsibilities.> > 9. Maintains current knowledge of relevant developments in area of expertise.> > 10. Participates in special projects as required.>>> | Apache Spark |
| 2903 | 6871 | Molder Utility A – CDL Driver (2 positions 2nd and 3rd Shift) | Overview Operate heavy equipment, such as roll-off trucks and dump trucks, to transport non-hazardous waste products, sand, scrap, and other materials to appropriate points during the production of ductile iron pipe fittings.> >>>Responsibilities ESSENTIAL DUTIES AND RESPONSIBILITIES include the following.>> Follow all processes and procedures associated with the Tyler Union Safety Management Program. Advise management of any deviations from this program. Safely operate roll-off and dump trucks to transport non-hazardous waste from the facility. Maintain daily task log and inspections on all heavy equipment. Dump daily scrap pans generated during production to main bunker for recycling. Unload process sand from production lines and silos at the three molding units. Transport sand to the sand reclamation system and maintain it full for daily production. Haul manifested non-hazardous waste to landfills as required. Stage, replace, and label twenty (20) yard Cupola dust roll off pans accordingly by procedure. Maintain constant operation of trucks during production. Must be able to operate equipment around tight spaces. Dump waste at Company-owned landfill at proper site locations. Follow all posted speed limits on public roads and within the plant premises. Wear fall protection at all times when climbing on baghouse pans. Be available to operate during any shift, as needed, within DOT guidelines. Must be able to work overtime as needed. Perform other duties as assigned by management. >>>Qualifications EDUCATION and/or EXPERIENCE >>High school diploma or GED certificate. One (1) to three (3) years of related on-the-job experience required. Current CDL and up-to-date physical required.> KNOWLEDGE, SKILLS, ABILITIES and WORK ACTIVITIES>> Knowledge required to perform this job includes production and processing; and mechanical. Skills required to perform this job include operation monitoring; reading comprehension; active listening; complex problem solving; critical thinking; and operation and control. Abilities required to perform this job include trunk strength; arm-hand steadiness; manual dexterity; near vision; static strength; written comprehension; finger dexterity; multi-limb coordination; oral comprehension; reaction time; category flexibility; control precision; information ordering; oral expression; problem sensitivity; selective attention; speech clarity; speech recognition; and visualization. Work activities required to perform this job include handling and moving objects; performing general physical activities; communicating with supervisors and peers; controlling machines and processes; inspecting equipment, structures, and material; getting information; evaluating information to determine compliance with standards; monitoring processes, materials, and surroundings; identifying objects, actions, and events; organizing, planning, and prioritizing work; documenting/recording information; making decision and solving problems; and processing information;. The physical requirements to perform this job include but are not limited to moderate lifting/carrying of 20 – 40 pounds; overhead or above shoulder reaching; bending at waist occasionally; push/pull maximum weight of 20 pounds un-wheeled; maximum standing of one hour per day; maximum sitting of three hours per day; maximum walking of three hours per day; climbing using arms and legs; climbing stairs using legs; moving neck forward/back and turning right/left; use of fingers required; use of both hands required; ability to grasp medium with right/left hands; ability to flex/extend right/left hand; ability to exert medium arm/hand force with right/left hand; ability to wear gloves on right/left hand; ability to use tools with right/left hand; ability to write; ability to work in a wide range of temperatures; ability to work in high humidity; ability to work inside/outside; ability to work on slippery, uneven, or unstable surfaces; ability to work around moving machinery; ability to work at unprotected heights; and ability to operate crane, truck, forklift, or other moving vehicles. Must wear common protective or safety equipment, such as seat belts, safety shoes, glasses, gloves, hearing protection, and hard hats.>>>>> | Speech Recognition |
| 2643 | 6510 | Senior Voice Designer - Alexa | 8+ years of professional experience as a user experience designer, interaction designer, or product designer Experience with voice or multimodal speech interfaces Experience with speech and language technologies, e.g. voice user interfaces (VUI), speech recognition (ASR), language understanding (grammars or NLU), text to speech (TTS) Bachelor’s Degree in Human Computer Interaction, Design, Linguistics, Computer Science, Engineering, Cognitive Science, or a related field Experience working cross-team and synthesizing feedback and input from product management, engineering, and marketing Experience presenting to and advising senior management External job description Interested in Amazon Echo and Alexa? Come work on it! Our team is building new voice-forward Alexa products and experiences that delight our customers in brand new ways. Our mission is to push the envelope in automatic speech recognition (ASR), natural language understanding (NLU), and voice user interfaces (VUI) in general in order to provide the best possible end user experience. As a Senior Voice UX Designer, you will lead, define, and drive spoken language and multimodal interfaces for existing and upcoming Alexa experiences and devices. You must be an innovator, since you will be expected to create solutions for exciting and ambitious ideas for which no interaction paradigm currently exists. You must be extremely proactive, because you will regularly find yourself in uncharted territory where the key to your success will be to get ahead of the curve. You must be a collaborator, as you will be working side-by-side with product managers and engineers to bring your designs to life. You must be a pragmatic visionary who can translate business needs into leading-edge customer-focused solutions. And most importantly, you must excel at conceptualizing spoken and multimodal experiences in the abstract and driving that vision into solid design deliverables. As a member of a growing design team, you will also be responsible for helping prioritize the team’s work and magnifying the impact of the team’s output across organizational boundaries. We are looking for a designer who can: Design successful voice interfaces and compelling spoken prompts Thoroughly capture and evaluate user paths during solution design/analysis Consider capabilities of underlying language technology during design Produce user flows, prototypes, and rigorous user interface specifications Confidently defend design rationale used to create solutions in frequent executive-level design reviews Thrive in a nimble environment while still driving impact across a large organization Lead prioritization of work streams for a team of 3-5 designers Draw on depth of experience, but initiate UX research and testing efforts when necessary Conduct analyses of real usage data to inform UX optimization efforts Drive root cause analyses to respond to UX performance issues Speak authoritatively on concepts of spoken interaction design in daily iterations with product managers, engineers, and testers Start simple while not losing sight of the long-term vision Communicate clearly and think quickly > | Speech Recognition |
| 2179 | 5875 | Senior Java Developer with Spark experience, VP | Primary Location: United States,New Jersey,Jersey City Education: Bachelor's Degree Job Function: Technology Schedule: Full-time Shift: Day Job Employee Status: Regular Travel Time: No Job ID: 18070746 Description > Job Description:>> Markets Data team is building the next generation Data fabric to solve for Business, Analytics and growing regulatory needs. Vast amounts of data assets have been accumulated through the years. Data fabric built on emerging technologies will facilitate the data being inspected, cleansed, and transformed for support decision-making>> This job involves being part of a dynamic team and contributing towards software development of core components within the next generation Big Data Platform. The ideal candidate will have an eye for building and optimizing data systems and will work closely with our systems architects, data scientists, and analysts to help direct the flow of data within the pipeline and ensure consistency of data delivery and utilization across multiple projects.>> Development Value:>> Candidate has the opportunity to be a major contributor to the Citi Markets Data Strategy and contribute towards the goal of increasing revenue using key metrics for decision making. The candidate will work with bright and innovative individuals both on the business and technology side and the successful candidate can make a significant difference to the business performance. >>Key Responsibilities:>> Work with overall analytics team and build regulatory reporting using Java, Apache Spark, Hive/Impala, Parquet, Redis and related Big Data Technologies> Responsible for systems analysis, Design, Coding, Unit Testing and other SDLC activities> Requirement gathering and understanding, Analyze and convert functional requirements into concrete technical tasks and able to provide reasonable effort estimates> Directly impacts the business by ensuring the quality of work provided by self and others; works closely with other teams as partner> Work proactively, independently and with global teams to address project requirements, and articulate issues/challenges with enough lead time to address project delivery risks> Providing expertise in technical analysis and solving technical issues during project delivery> Code reviews, test case reviews and ensure code developed meets the requirements> Demonstrate ownership and initiative taking> Some support, troubleshooting, bug-fixing of existing and new applications is expected> Qualifications Qualifications:> Graduate degree in Computer Science, Information Systems or equivalent quantitative field>> Skills:>> Must Have Experience:> Java or Scala essential> Apache Spark >In-memory Database experience (Redis/MemSQL)> RDBMS experience> Service oriented architecture, and data standards like JSON, Avro, Parquet> Agile/Scrum methodology experience is required.> Experience in SCMs like GIT; and tools like JIRA> Strong systems analysis, design and architecture fundamentals, Unit Testing and other SDLC activities> Strong communication skills, should be able to communicate effectively with business and other stakeholders> Demonstrate ownership and initiative taking>> Nice to have Skills:> Kafka, Streaming experience> Hive/Impala> Exposure to Cloud Services (AWS, Google Cloud)> Front End / Reporting experience> Equities Electronic execution and/or analytics> Prior experience of working on regulatory reporting is highly desirable> Prior experience with Front Office Systems and FINRA OATS reporting is highly desirable>>>> | Apache Spark |
| 3075 | 7129 | Director of Statistical Modeling | >This position will direct a team(s) of statistical or data modelers who develop empirical scores and heuristic analytic products which serve all areas of LN RISK Solutions. The position will work directly with Market Planning, Scoring Product Development, Data Fabrication, and Data Acquisition teams to ensure best in class products are developed and the highest possible statistical rigor is practiced within the modeling teams. This position will work with the sales organization in delivery of results and in presenting our analytic capabilities to all verticals as necessary.> >The Director builds a high performing team capable of handling requests from customers and sales channels as well as partnering with the Market Planners to provide industry leading generic and custom analytic product offerings for use within all LN Insurance Data Solutions verticals> >Leads the test design, development effort, validation, results presentation, and production phases of all analytically developed products and models. This includes all periodic validation exercises as dictated by either internal mandate, regulatory or client desire. Interacts with senior internal and external contacts to influence and lead model and analytical project development efforts; clearly articulates LexisNexis scoring capabilities Ensures appropriate documentation, testing, and analysis has been completed and communicated to Vertical, Product, and Operational Teams to support go to market activities. Provides technical leadership for Modeling and analytical Sales Support using sound understanding of relevant statistical techniques. Hires, trains, retains, and motivates a team of highly insightful and customer focused Modeling resources. Develops associates to ensure career objectives are met, and appropriate modeling management bench strength is developed. Keeps Senior Executive Management apprised of progress through effective communication of status and next steps on all generic and custom model development efforts in support of sales opportunities and product development initiatives. Maintains understanding of the competitive landscape within the scoring and analytics markets. Influences peers, subordinates, and superiors without direct managerial authority Qualifications> Masters degree in computer science, mathematics, statistics or quantitative methods (or equivalent years experience required) 10+ years experience in data analysis and manipulation, predictive modeling, and statistical analysis, including 2+ years leading highly successful teams. Applied modeling and analytics experience in applicable industry. Previous experience in an analytical leadership role. Expert user of SAS, SPSS or equivalent analytic software. Thorough understanding of various statistical methodologies including linear regression, logistic regression, neural networks, and CHAID/CART. Thorough understanding of the regulatory environment, internal policies and procedures of perspective clients, and a keen understanding of the markets within which LNRM operates. Thorough understanding of the LexisNexis RISK Solutions Management business. Excellent analytical and project management skills. Prior experience managing performers and managing managers. Outstanding written and oral communication skills including Customer-facing and teleconference presentation skills. Fluency with Excel, PowerPoint and Word. Travel required within U.S. (5-25%). Manage multiple managers >At LexisNexis Risk Solutions, we believe in the power of data and advanced analytics for better risk management. With over 40 years of expertise, we are the trusted data analytics provider for organizations seeking actionable insights to manage risks and improve results while upholding the highest standards for security and privacy. Headquartered in metro Atlanta, LexisNexis Risk Solutions serves customers in more than 100 countries and is part of RELX Group plc, a world-leading provider of information and analytics for professional and business customers across industries. For more information, please visit www.lexisnexisrisk.com. LexisNexis Risk Solutions is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact 1.877.734.1938 or accommodations@relx.com.>>>> | Neural Networks |
| 1499 | 3507 | FINTECH | Exciting FinTect Leadership role available for an individual with proven presales and strong technology background. Our client is looking to build their capability in emerging areas of technology for their Bank customer specifically to create and win software development opportunities – specifically blockchain and various machine learning approaches to achieve our customer’s objectives. You will do this through personal networking, demonstrations of technology and capability and performing RFPs. You will have the support of the 7-year established London Fintech Lab – 150 people. For 2018 and beyond our client want to grow the team to include enterprise-grade software solutions which will enable us to deliver the expected COTS software but extend our solutions with the most cutting-edge extensions available from the FinTech community. The FinTech Presales Consultant will be responsible for all technical pre-sales activities and act both independently to solve our client’s problems and also part of a team to build larger RFPs and share knowledge. You will have a broad knowledge of fintech offerings across multiple technology areas such as Blockchain, Automation and Analytics. You can produce designs and solutions to a detailed level which will solve client problems. You can build proof of concepts in your chosen field, and oversee PoC’s and Pilots of other teams. You will be actively interested in what is happening within FinTech from start-ups in and around start-up cities and able to include their offerings into your enterprise technology specialisms. The idea candidate will have a reasonable knowledge of the banking functions of front/middle/back offices of corporate/investment/retail banks so that you can understand how your specialist technology fits into customer requirements. Send your CV to simmane@bangura.co.uk or give Bangura Solutions a call on +44 207 854 1400 if you’d like to secure this fantastic career opportunity.>>> | Machine Learning |
| 3471 | 7656 | SR ANALYST DS AND ANALYTICS | POSITION PURPOSE The Sr. Analyst, Data Science Analytics is responsible for providing analytical and data science support to the development and execution of pricing strategies and tactics at THD. The Sr. Analyst will provide subject matter expertise, perform analysis of data, and deliver insights and recommendations to cross-functional business partners both within and outside of pricing organization to helping them gain a better understanding of business, identify sales and profitability opportunities, and improve their decision-making. Sr. Analyst will utilize industry-leading methods and techniques for working and analyzing data, including statistical modeling, analysis, and machine learning. MAJOR TASKS, RESPONSIBILITIES AND KEY ACCOUNTABILITIES 20%- Work with business stakeholders to understand and assess business problem. 20%- Define objectives of the analysis, develop analysis framework and approach, develop project plan, including timing/milestones, deliverables, resources required and risks 30%- Gather data required for the analysis and develop an analytical solution. Conduct quality assurance and validation of results. 20%- Synthesize findings and draw conclusions from analyses. Provide comprehensive report to senior leadership outlining findings, insights, and recommendations 10%- Seeks further knowledge and become subject matter expert on key developments within data science, technical skill sets, and additional data sources within Home Depot. NATURE AND SCOPE Reports to Manager or Sr Manager. This role has no direct reports. ENVIRONMENTAL JOB REQUIREMENTS Environment: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Travel: Typically requires overnight travel less than 10% of the time. >MINIMUM QUALIFICATIONS Must be eighteen years of age or older. Must be legally permitted to work in the United States. Education Required: The knowledge, skills, and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Years of Relevant Work Experience: 2 years Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles. Additional Qualifications: Experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) Experience using statistical and data manipulation computer languages (e.g. Python, R, SQL). Preferred Qualifications: Master s degree in Operations Research, Statistics, Economics, Computer Science or Engineering Knowledge, Skills, Abilities, and Competencies: Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Advanced knowledge and experience visualizing/presenting data for stakeholders using Tableau or other similar applications. Critical thinking, effective written and verbal communication skills.>>> | Neural Networks |
| 2966 | 6944 | Senior Deep Learning Inference Software Engineer (TensorRT) | We are now looking for a Senior Deep Learning Inference Software Engineer (TensorRT): NVIDIA is hiring software engineers for its GPU-accelerated Deep learning team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in problems from image classification to speech recognition to natural language processing. Join the team which is building software which will be used by the entire world and interact with the deep learning community to implement the latest algorithms. What you'll be doing: Design and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance Performance analysis, optimization and tuning Closely follow academic developments in the field of artificial intelligence and feature update TensorRT Feedback into the architecture and hardware development You'll collaborate across the company to guide the direction of machine learning inferencing, working with software, research and product teams Publish key results in scientific conferences What we need to see: You have a MSc. or higher degree from a leading University in a relevant field, e.g. engineering, computer science, or computer engineering or equivalent 5+ years of relevant software development experience Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design. You should display a real passion for artificial intelligence and computer vision, and knowledge of the latest developments in DL and AI. Experience working with deep learning frameworks like Caffe, TensorFlow and Torch Dedicated and able to work without supervision Excellent written and oral communication skills in English Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. And medical instruments will read and understand patient DNA to detect and treat early signs of cancer. Where engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model - GPU deep learning - that enables computers to learn from data and write software that is too complex for people to code. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you. Come, join our TensorRT Deep Learning team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearning>> | Speech Recognition |
| 3535 | 7737 | Co-Op (Computer Science Major-Post Grad) | Co-Op (Computer Science Major - Post Grad) We’re the obstacle overcomers, the problem get-arounders. From figuring it out to getting it done… our innovative culture demands “yes and how!” We are UPS. We are the United Problem Solvers. About this role: This Student Co-Op will have a background in Computer Science, Mathematics or Statistics. He/she must have a minimum basic knowledge of statistical methods used in data science such as Decision Trees, Generalized Linear Modeling, and Unsupervised methods and an understanding of Machine Learning and it’s applications within a corporation. The Co-Op will work on new projects with the advanced analytics team. Must be able to work 15 - 20 hours per week while school is in session. Potentially work 40 hours per week when school is not in session. Minimum Qualifications: Experience with computer programming languages – Java, C++, R, Python Additional skills include Javascript, HTML, SQL Understanding cyber security The desired Co-Op will be currently enrolled in a degreed college/university program pursuing a degree in Computer Science, Statistics MIS, Mathematics or related discipline, or has graduated from a degreed college/university program within the last 24 months with a degree in Computer Science, Statistics, MIS, Mathematics or related discipline. Communication skills and requirements: Proven ability to communicate professionally; written, presentation, and spoken Demonstrates ability to understand critical elements of business requirements and potential results on business needs Capable of identifying current and future business needs Technical skills and requirements: Mathematics/statistics background – minimum of basic knowledge of statistical methods used in data science Time Series Decision Trees Generalized Linear Modeling Unsupervised methods Understanding of Machine Learning and it’s applications within a corporation Experience with at least one computer programming language – R or Python Understanding of Spark and Hadoop architecture and use in scaling Additional Skills/Knowledge: Domain knowledge in area of current project – ex: logistics, transportation, etc. OR knowledge, specifically optimization skills Depending on the team’s needs, experience having done research on one of the technical topics above – ex: college thesis Experience with Deep Neural Networks Experience with one of the cloud services – Azure, AWS, or Google Cloud This position offers an exceptional opportunity to work for a Fortune 50 industry leader. If you are selected, you will join our dynamic technology team in making a difference to our business and customers. Do you think you have what it takes? Prove it! At UPS, ambition knows no time zone. UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law>> | Neural Networks |
| 2206 | 5910 | Machine Learning Scientist Engineer | >Organization Objective/Purpose: This role is part of the Machine Learning Consulting/Delivery Team, within the Digital Experience organization. The team’s core objective is to drive business growth and deepen client relationships by transforming how Epsilon’s customers use and maximize their investments around machine learning. >Brief Description of Role: Delivering integrated marketing solutions focused on relevant, personalized, and cross-channel technologies is paramount at Epsilon. This position will focus on design, development, and integration of the machine learning algorithms, becoming the expert on Decision Management platforms while providing support and backup to other channels when needed. The communication skill to understand the business requirement, walk through the complex design with simple examples, demonstrate why the system is working and clarify the performance outcome with the customer is equally important. > You will run and lead development and integration for decision management capabilities thru different predictive modeling/machine learning engine. Client integration will come in many forms including; customer websites, call centers, email systems, mobile application, print channels, and many other customer touch points. > This is a highly visible position directly working with Epsilon’s client base and internal product team. We are looking for a senior development professional to manage this initiative and important opportunity. This is an individual contributor role. > Below are the primary responsibilities Decision Management Development: You will need to be able to design, develop, and integrate a recommendation engine leveraging machine learning either on premise at the client locations or via the Epsilon cloud working with engineering, database, and system administration teams. Below is a list of detailed responsibilities; Decision Management application design and development Recommendation engine design and development Database development and integration Enterprise software design and development Architecture design for application with high transactional volume System Integration: You will need to be able to design, develop, and integrate decision management platforms into multiple types of marketing applications such as: website, email, print, social, etc. Below is a list of detailed responsibilities; Development of API, Web services, and other common network communication protocols Recommendation model development and integration Integration with Java, Python, .NET, Siebel, HTML, Eloqua, and many other marketing platforms Development of ETL, XML, SFTP, shell script and other data transformation processes Client Services and Support: You will need to be able to work in a cross matrix team environment from both Epsilon and our client base including; peer developers, project managers, systems analyst, database developers, marketing teams, business managers, and executive leadership. Manage key deliverables from clients contributing to programs and projects success criteria. Act as the senior point of contact for all IT development and integration work with the client. Responsible for full delivery of all IT development and integration in scope which could involve leading other developers from various teams internally. Manage all points of escalation and communication for IT development with the client. Create, develop, and implement critical processes needs for the client. Prepare and maintain documentation including planning, analysis, design, implementation/testing, and deployment deliverables. Manage timelines and coordination among sub-projects; ensure that cross-project dependencies are identified, communicated, and tracked. Refine and implement quality test plans. Technical/Functional Qualifications: > This position requires an individual with a combination of software engineering and data analytical skills with the desire being part of cutting edge, high profile projects and are motivated by delivering world-class solutions on an aggressive schedule. The candidate should have a solid foundation in computer science and statistics/math with well-honed skills in the following areas: Data Management Experience with both structured and unstructured data, and Hadoop, Apache Spark, or similar technologies Able to identify, join, explore and examine data from multiple disparate sources and formats Ability to reduce large quantities of unstructured or formless data and get it into a form in which it can be analyzed Ability to deal with data imperfections such as missing values, outliers, inconsistent formatting, etc. Ability to manipulate large datasets, (millions of rows, thousands of variables) Statistics Modeling Knowledge of statistical theories and techniques commonly used in recommendation, prediction, anomaly detection and optimization models Ability and desire to go beneath the surface of a problem and distill it into a clear set of hypotheses that can be tested Design, plan, and manage projects from start to finish produce data-driven results with appropriate techniques to answer key business questions Mastery of statistical programming languages such as Python Machine Learning Experience with machine learning algorithms, such as collaborative filtering, k-nearest neighbors, random forests and ensemble methods and their corresponding implementation packages in Scikit, Spark mllib, Tensorflow, H2O, AWS ML, Azure ML Go-to person to answer deep technical questions about which ML algorithm may improve results or what visualization is best to explore relationships in the data Software Development The ability to write code in programming languages such as Scala, Java (preferred), and Python Capable of deploying the ML models into a production environment fully integrated as a solution end to end Familiarity with software development methodology such as Agile/Scrum Love to learn new technologies, keep abreast of the latest technologies within the cloud architecture, and drive your organization to adapt to emerging best practices Qualifications Advanced degree (Master’s/PhD) in Statistics, Computer Science or other quantitative discipline Minimum of 5 years of related experience Mastery of various statistical methodologies such as regression analysis (linear and non-linear), cluster analysis, CHAID, time series, survival models Experience with machine learning Working knowledge of Hadoop, Apache Spark, and other big data technologies Strong analytic thought process and ability to interpret findings Ability to work on multiple assignments concurrently >>Conditions of Employment All job offers are contingent upon successful completion of certain background checks which unless prohibited by applicable law may include criminal history checks, employment verification, education verification, drug screens, credit checks, DMV checks (for driving positions only) and fingerprinting.>> Great People, Deserve Great Benefits We know that we have some of the brightest and most talented associates in the world, and we believe in rewarding them accordingly. If you work here, expect competitive pay, comprehensive health coverage, and endless opportunities to advance your career. From tuition reimbursement to scholarship programs to employee stock purchase plans and 401(k)s, we offer associates a variety of benefits that work as hard for them as they work for us.>> About Epsilon Epsilon® is an all-encompassing global marketing innovator. We provide unrivaled data intelligence and customer insights, world-class technology including loyalty, email and CRM platforms and data-driven creative, activation and execution. Epsilon’s digital media arm, Conversant, is a leader in personalized digital advertising and insights through its proprietary technology and trove of consumer marketing data, delivering digital marketing with unprecedented scale, accuracy and reach through personalized media programs and through CJ Affiliate, one of the world’s largest affiliate marketing networks. Together, we bring personalized marketing to consumers across offline and online channels, at moments of interest, that help drive business growth for brands. An Alliance Data* company, Epsilon employs over 8,000 associates in 70 offices worldwide. For more information, visit www.epsilon.com and follow us on Twitter @EpsilonMktg.>> Alliance Data provides equal employment opportunities without regard to race, color, religion, gender, age, national origin, disability, sexual orientation, gender identity, veteran status or any other characteristic protected by law.>> For San Francisco Bay Area:> Alliance Data will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code Sections 4901 - 4919, commonly referred to as the San Francisco Fair Chance Ordinance>> Alliance Data is an Equal Opportunity Employer. > Alliance Data will provide accommodations to applicants needing accommodations to complete the application process. > Any applicant offered employment will be required to establish that they are legally authorized to work in the United States for Alliance Data. > Alliance Data participates in E-Verify. > Alliance Data will consider for employment qualified applicants with criminal and credit histories in a manner consistent with the requirements of all applicable laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. > #LI-CK1> #DCE> >> Primary Location: USA - United States-3120 - Texas-41416 - Plano-09-Work From Home Full Time> Work Locations: 09-Work From Home Full Time Plano 75024> Job: Technology> Organization: Epsilon> Schedule: Regular> Job Type: Full-time> Job Posting: Jan 9, 2019, 1:39:04 PM> Division: Epsilon> RI: CK>>> | Apache Spark |
| 3526 | 7727 | Applied AI Scientist, Adaptive Experimentation | Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. >>Facebook is seeking AI Scientists to join the Adaptive Experimentation team. The mission of the team is to do cutting-edge research and build new tools for reinforcement learning and black-box optimization that democratize new and emerging uses of AI technologies across Facebook, Instagram, and sister companies. Applications range from AutoML, to automating A/B tests, to contextual decision-making for mobile and server-side infrastructure, to black-box optimization for hardware design. Scientists will be expected to conduct cutting-edge applied research in the area of reinforcement learning and black-box optimization while working collaboratively with teams across the company to solve important problems. AI Scientists are expected to work alongside with applied statisticians specializing in causal inference and experimental design, so additional experience in these areas is a plus. >RESPONSIBILITIES>> Develop and apply new adaptive experimentation methods, such as multi-armed bandit optimization and reinforcement learning, to new and emerging applications.>>>>> MINIMUM QUALIFICATIONS>> Ph.D. in computer science, operations research, statistics, or related field with 2+ years of research experience with reinforcement learning or neural networks>>> 2+ years of research experience and a publication track record in at least one of the following:>> Deep reinforcement learning>>> Contextual bandits>>> AutoML>>> Evolutionary strategies or evolutionary algorithms>>> Bayesian optimization>>>>>> Experience with developing and debugging in with Python with PyTorch, TensorFlow, Caffe, or related frameworks>>>>> PREFERRED QUALIFICATIONS>> A passion for disseminating new methods through open-source projects and/or academic publications.>>> First-author publications at peer-reviewed AI conferences (e.g. NIPS, ICML, ICLR, AISTATS, UAI).>>> Experience with causal inference, applied statistics, or A/B testing.>>>>>>> | Neural Networks |
| 863 | 2139 | Security Technical Program Manager | Twitch Security is the team charged with measuring, understanding, and improving Twitch’s security posture and culture, anchored by a core tenet to defend the customer and their data. We’re looking for a Technical Program Manager (TPM) to join the Twitch Security team and help lead its company-wide initiatives.> > TPMs at Twitch apply their technical and organizational skills to correctly capture requirements, plan for dependencies, and make their teams more efficient. They know how to apply technology to solve problems. The Security TPM role is both diplomat and advocate, and is trusted to represent the Twitch Security team to both customers and stakeholders, internal and external. You will help define goals, measure progress, manage dependencies, and clear blockers.> > Twitch Security is early in its roadmap and the successful candidate will have a unique opportunity to apply the lessons of their past successes and failures to a growing program. You will solve new problems unique to Twitch as well as old favorites, and help build a company-wide security culture focused on protecting the customer.> > You’ll find a Requirements section below. If you meet all these then we strongly encourage you to apply. If you meet some of them but think this role sounds like something you’d be great at, we strongly encourage you to apply. If you meet just one of them but think you bring something unique to the team, we strongly encourage you to apply.>> Responsibilities Own successful delivery of large, high impact and highly cross-functional program initiatives while simultaneously and accurately tracking a set of smaller projects. Work closely with Twitch’s product teams, throughout the product’s life-cycle. Recognize, adopt and instill good practices from security engineering fields throughout the organization. Exercise risk-based judgment, and to help teams to make the right security calls. Drive strategic cross-functional planning, leading discovery and prioritization by closely partnering with engineering leads to develop program plans, including roadmap, dependency identifications and resourcing plan. Establish and drive adoption of program frameworks, tools and best practices. Share your program management knowledge with engineering leadership teams. Lead post-program analysis to guide future programs. Communicate clearly and effectively to executive management on the plans, status and critical issues. Escalate urgent issues appropriately and driving them to closure in a timely manner.>>> Requirements Minimum of 5 years of experience as a technical program manager in software/web development organizations. BS or MS degree in computer science or equivalent experience. Strong technical acumen and ability to actively participate and contribute to technical designs discussions, proactively identify challenges and risks, working closely with engineers on addressing challenges and form mitigation plans. Considers the larger picture (e.g., efficiency, availability, operability, scalability, business goals, customer experience, etc.) Balances against the needs of engineering teams who have to build, maintain and extend features for the life of the technology. Incorporates these requirements into project plans. Demonstrated ability and experience to influence, develop productive working relationships, and lead engineering teams and key stakeholders from different business functions. Strong analytical and communication skills, a risk mitigation mindset, and ability to escalate at appropriate levels of urgency. Strong sense of ownership and willingness to go above and beyond to chase down loose ends that lead to a successful program. Solid understanding of agile product development methodologies, and their application to manage programs effectively Good judgement and pattern recognition Creative problem solving ability. Proactive demeanor with a bias towards action.>>> Bonus points Years of demonstrated experience working in security. Solid understanding of cloud-based applications Avid user of Twitch with a passion for the Twitch community>>> Perks Medical, Dental, Vision Disability Insurance 401(k) Maternity Parental Leave Flexible PTO Commuter Benefits Amazon Employee Discount Monthly Contribution Discounts for Wellness Related Activities Programs (e.g., gym memberships, off-site massages, etc.) Breakfast, Lunch Dinner Served Daily Free Snacks Beverages>>> #LI-MH1> > Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the shared interactions of millions. At any given moment, more than a million people come together from all over the globe to interact around this distinct form of live entertainment. From streaming, watching, chatting, and cheering about video games and esports to many other interests including traditional sports, anime, sci-fi, wrestling, music, cooking, the creative arts, and more, there’s something for everyone on Twitch.> > We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.>>>> | Pattern Recognition |
| 3145 | 7214 | Software Engineering Co-Op | Essential duties responsibilities: Partner closely with end-customers to understand business/industry problems and continuously refine requirements to deliver quality solutions, applications and proof-of-concepts Deliver platforms and applications with high quality, stability and integrity through precise and thorough testing / validation techniques Follow accepted programming practices, standards, and regulations (e.g., data privacy, FDA regulations) Analyze, identify and correct technical problems and deficiencies to deliver an improved experience Collaborate in code reviews to ensure good development practices are followed. Education special trainings: Currently working on completion of Bachelor’s or Master's degree in related field or equivalent; we will only consider students who plan to be enrolled in a degree-seeking program after the co-op Cumulative 3.0 GPA or above; must be the case at the date of hire and also will be verified during background check Completed data structures and algorithms course Completed courses on an object-oriented language (Objective-C, Swift, C#, C++, Java) Courses in AL / Neural Networks a plus Courses in statistics, calculus and/or advanced algebra a plus Qualifications experience: Must be permanent resident of the U.S. or U.S. citizen Experience with 3D software (Unity, Ogre, or other gaming engines) or mobile development (iOS / Android) a plus Experience with python and traditional AI frameworks (i.e., TensorFlow) a plus Experience with version control (SVN or git preferred) a plus Experience with Software as a Medical Device a plus. Physical mental requirements: Demonstrate skill in communicating technical information to varying audiences. Work From Home: No Travel Percentage: Up to 25% Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability. Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.>> | Neural Networks |
| 2773 | 6667 | Sr. Software Development Engineer-Audio | VOCAL is in search of an audio engineer who is highly capable in implementing algorithms within the voice technology domain including acoustic beamforming, adaptive filtering, noise reduction and speech coding. Engineer will be joining team responsible for designing, developing, coding and testing acoustic and voice solutions through productization. The ideal candidate has industry experience achieving real-time embedded fixed point solutions ported from high level algorithms validated in Matlab or similar. Role has high level of impact and contribution.Competitive candidates willHave completed or be pursuing a PhD in a field related to Digital Signal Processing.Understand phased array system design and optimization for broadband signals.Understand trade-offs in RTOS algorithm design for power consumption, algorithm complexity and WNG.Understand the design of microphone array configurations such as ULA and UCA.Understand the theory of DOA estimation using various algorithms such as MUSIC, ROOT-MUSIC, ESPRIT, GCC-PHAT, SRP-PHAT etc. and their limitations for applications to acoustic signals.Responsibilities of the Acoustic Beamforming Engineer includeDesigning fast and efficient acoustic DSP algorithms for implementation on embedded processors.Analyze the performance impact of algorithms by estimating the processing resources such as MIPS, ROM and RAM.Coordinate software development activities with other DSP engineers such as prototyping and tuning algorithms to meet and exceed customer requirementsTesting performance of algorithms such as beamforming, AEC, ANR, dereverberation, VAD, and BSS by using both subjective and objective measures, and with speech recognition engines.Research on new technologies and how they can be incorporated in VOCALs custom products for improvement.About VOCAL Technologies LTDVOCAL Technologies is a design house dedicated to providing innovative solutions to our customers engineering problems.VOCAL has over 30 years of expertise in telecommunications engineering for the industrial, commercial and military/DoD markets with comprehensive product designs, system integration, and software and hardware engineering. Recent products and technologies include beamforming, cloud based communications systems, video surveillance, voice and data RF devices, secure government devices, lawful interception software, ATAs, VoIP clients and servers, medical devices, radios, embedded modems, T.38 fax, FoIP, MoIP, and RASoIP. Custom engineering designs range from turn-key solutions to complete designs including hardware, software and integration into finished products.Job Type: Full-timeExperience:Signal Processing: 1 year (Preferred)System Design: 1 year (Preferred)Education:Doctorate (Preferred)Benefits offered:Paid time offHealth insuranceDental insuranceEducation assistance or tuition reimbursementWorkplace perks such as food/coffee and flexible work schedules> | Speech Recognition |
| 2685 | 6563 | Lead Line Attendant, Food | GREAT PEOPLE | GREAT BENEFITS | JOIN OUR ALL-STAR TEAM! Lead Line Attendant, Food Ascending to 14,410 feet above sea level, Mt. Rainier is an iconic point in the Washington landscape. Our associates gain valuable experience here while meeting guests and coworkers from around the world, and in their free time they have a magical world of pristine mountain meadows, majestic waterfalls, peaceful old-growth forests, and much more to explore! Throughout the season we have regularly scheduled activities and day trips with transportation provided for associates, including trips to nearby adventures or cities like Seattle to visit Pike Place or catch a Mariners game! Employees with vehicles are only a short 2 hour trip away from exploring many destinations like Portland and Seattle on their own. Because of our unique location, room and board are provided to associates who do not live in one of our surrounding communities at a very low-cost via payroll deduction. Laundry facilities are provided at each dorm unit at no cost to employees. Employee meals are served in Employee Dining Rooms. We can also accommodate a limited number of RV units. All RV's must be fully self-contained - no camper shells/vans, etc. As a team member in Mt. Rainier National Park you can expect your season to last from approximately mid/late June to mid September. Do you naturally reach out to help others, including guests and co-workers? Are you excited by the opportunity to live in a remote and beautiful location? Are you willing and able to work hard? If so, we want to hear from you! JOB SUMMARY Under supervision of the Sunrise General Manager, assist in the daily operation of the cafeteria food service to maintain a consistently high standard of guest service, cleanliness, food presentation, and cost control. Provide excellent guest service in the cafeteria food operations through the preparation, serving, selling, clean-up, and cooking of food. Assist clerks with voids, corrections and related special situations. Coordinate break and lunch periods. ESSENTIAL FUNCTIONS Assist guests through positive and friendly interactions, ensuring complete guest satisfaction at all times, and completing sales on register. Handle guests’ complaints and solve them according to customer service standards. Complete sales in POS in an accurate, efficient and friendly manner, assist line attendants with the same. Monitor and supervise set up and maintenance of dining area, cashier stations, and/or food stations to ensure quality standards. Attend and participate in safety meetings. Maintain sanitation of food and food service areas. Clean counters, equipment, and general work area, including washing dishes. Replenish and inventory food items and supplies in a cafeteria serving line, food bar, or store room. Assist in training, supervising, scheduling, and directing the unit’s staff at the direction of the General Manager. Train hourly staff for peak performance and monitor staff’s development. Maintain and ensure safe facility environment including standards for maintenance and upkeep of unit’s equipment, food production and handling, cooking, housekeeping, sanitation, dress, cash control, and employee hygiene. Notify General Manager of all unusual events, circumstances, or other safety or quality control issues. Maintain awareness of safety issues, and report them immediately to your manager. Performs such other related duties as directed or required. SKILL AND KNOWLEDGE REQUIREMENTS INCLUDE High School Diploma or GED required. Food Safety Certification required. Demonstration of food safety and sanitation knowledge, with strong sanitation habits. National park experience preferred. Demonstrated talent for interacting with a wide variety of people. Ability to learn and use food service POS system including computerized cash register and credit card terminal. Ability to effectively organize and coordinate multiple priorities; ability to work well as a team leader; ability to problem-solve. Strong customer service abilities; actively looks for ways to assist customers and coworkers. PHYSICAL AND MENTAL REQUIREMENTS Moving about on foot to accomplish tasks, particularly frequent movements from place to place within the unit. Bend, lift, carry, reach/extend arms and hands above shoulder height frequently, or otherwise move in a constantly changing environment. Lifting, carrying, and pushing up to 25 lbs. regularly, 30-35 lbs. frequently, and up to 50 lbs. occasionally. Ability to stand for the entire work day and to climb steps regularly. Withstanding temperature extremes in freezer, refrigerator walk-in and grill areas. Reading and writing work-related documents in English. Speech recognition and clarity, including the ability to understand the speech of customers and co-workers and the ability to speak clearly so that you can be understood by customers and co-workers in English. Constantly communicates and receives verbal communication with other employees in fast-paced environment. Physical presence at the job site is essential to perform job duties. EQUIPMENT USED Food service POS (Point of Sale) system including cash register and credit card terminal. Typical office equipment (computers, phone system, fax, copiers, scanners, among others). Commercial kitchen equipment (pots and pans, stove, fridge, fryers, among others). Required Personal Protective Equipment (PPE) used: goggles, gloves, cut glove. Guest Services, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.>> | Speech Recognition |
| 3688 | 7898 | 2019 PhD Data Scientist Internship - Forecasting and Anomaly Detection Platform | Internship>>At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.>> We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.> > About the Role>> Time Series analysis is central to Uber in many ways:> accurate forecasts are essential for informed decision making prompt detection of anomalies insures reliability short-term automated forecasting powers optimization> To accomplish these goals, the Forecasting and Anomaly Detection Platform develops state-of-the art Machine Learning techniques and deploys them as scalable tools. Active areas of research for us are Hierarchical Forecasting, Deep Learning, Bayesian Forecasting, Probabilistic Programming, as well as developing novel statistical models.> Our work helps creating technology that insures the Uber experience is always excellent.>> A sample of our team’s work can be found in> https://eng.uber.com/m4-forecasting-competition/ https://eng.uber.com/omphalos/ https://eng.uber.com/neural-networks-uncertainty-estimation/ https://eng.uber.com/neural-networks/ https://eng.uber.com/forecasting-introduction/ What you'll do>> Push the envelope on what can be done in the realm of time series and anomaly detection, by actively researching and developing the next generation algorithms. Implement these methodologies in a rapidly growing platform designed for broad adoption and ease of use. Partner with experienced scientists and engineers in building first-class products> What you'll need>> Strong knowledge of statistical principles and machine learning methods. A curious mind Proficiency in writing good quality code> Be sure to check out the Uber Engineering Blog to learn more about the team.>>> | Neural Networks |
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| 3659 | 7868 | Data Scientist, Analyst (Lending and Operations) | The Data Science team is looking to add a Data Scientist/Modeler to the Operations Data Science team who will use statistical and Machine Learning modeling, optimization and/or data science techniques to identify areas of opportunity and to assist with the implementation and evaluation of initiatives to improve the efficiency and efficacy of SoFi customer operations. This is an exciting opportunity to directly impact the customer experience and maximize company revenue while limiting operational costs. At SoFi, you’ll become part of a new kind of finance company whose ambition is to help our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, and to help every member get their money right. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Next we expanded our products and services across loans, wealth management, and insurance. SoFi Money—a modern take on a checking or savings account-is our newest innovation and disruption to the financial services industry. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. And that starts with you. Responsibilities: Work with operational leaders to identify opportunities to improve the efficiency and efficacy of customer operations; Assist in the implementation and evaluation, and assessment of scope of impact of such opportunities; Lead the development, implementation and continuous improvement of models and strategies; Leverage in-house, external and other open source machine learning software/algorithms; Research and apply superior data and methodology for the models; Perform ongoing monitoring of the models; Partner with Operations stakeholders to ensure that models are correctly used in decisions; Interact with Product, Risk and Engineering teams; Present model performance and insights to Operational stakeholders and business leaders. Qualifications: M.B.A. or Master’s or Ph.D. in Computer Science, Statistics, Operations Research, Engineering, Mathematics or a related quantitative field; Knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but not limited to) regression analysis, clustering, outlier detection, novelty detection, decision trees, collaborative filtering, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks and deep learning, feature selection, and factorization methods; At least 3 years of industrial experience working in the area of model development; Proven track record of end-to-end experience in model development, testing, implementation and performance tracking; Programming skills in Python and/or R; Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc; Ability to work in a dynamic, cross-functional environment, with a strong attention to detail; Effective communication skills and ability to explain complex models in simple terms; Strong relationship-building and collaborative skills; Exceptional problem-solving skills; Experience documenting models; Experience building customer operations models is preferred. Company Overview: At SoFi, you’ll become part of a new kind of finance company based around speed, transparency, and alignment with our members’ interests. Our goal is to be at the center of our members’ financial lives. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. We expanded into other types of loans, and then into insurance and wealth management with similarly inventive products and soon to be launched SoFi money a modern take on a checking or savings account. As the company has grown, we’ve been able to help more people with these tools. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. Benefits: Inspiring company mission Amazing work environment in San Francisco, CA Competitive compensation, including equity Generous paid time off Free lunch and healthy snacks Subsidized gym membership Medical, dental and vision insurance 100% of health, vision, and dental premiums paid by SoFi for employees and dependents 401K and commuter benefits Tuition reimbursement on approved programs, up to $5,250 / year Monthly contribution to help you pay off your student loans Think you’re a fit? Send us your resume along with 2-3 sentences on why you’re the perfect candidate for the job. | Neural Networks |
| 2331 | 6073 | Data Scientist's Analyst | Contract Job Description The Analyst identifies internal and external data sources and enables skill teams (Purchasing / Supply Chain / Manufacturing) and analytics teams to leverage the data with their analytic tools to answer their key questions. The role will be responsible for discovering and curating data sources, including Creating data standards, developing data security recommendations, assessing data quality and creating the required transformations. Collaborating with IT teams to support data collection, integration, and retention requirements based on the input collected with the business. Acting as the data steward to ensure that all information utilized adheres to compliance, access management, and control policies as set forth by GDIA. Providing on-going tracking and monitoring of the performance of decision systems and statistical models Solving client analytics problems and communicates results and methodologies. Working in iterative processes with the client and validates findings. Modeling and framing business scenarios that are meaningful and which impact on critical business processes and/or decisions. Working closely with different teams to solve problems related to client analytics. Performing experimental design approaches to validating findings or testing hypothesis which provide business value. Working cross-functionally to manage data and analytic projects. Improving department results through innovation. Creating data products that combine various internal data sources enabling more efficient consumption of data. Skills Required: Strong oral and written communication skills Experience with Microsoft Excel, PowerPoint and Word Demonstrated skills in large scale data manipulation, and mining / pattern recognition Critical thinking skills that demonstrate the ability to use existing and discoverable data to solve business problems Ability to translate complex quantitative methods into easily understood results for all levels of business customers Ability to handle multiple projects within a given timeframe Experience with tools such as Hadoop, Alteryx, QlikView, Apache, Spark, Informatica Strong programming skills; Experience in R, Python, SAS, SQL or Matlab Experience Required: 3-5 years of specific skill team (Purchasing, Supply Chain, Manufacturing - client Specific) or Data Analytics / Data Operations Work. Education Required: Bachelor's, Master's, or Ph.D. program with a concentration in a quantitative or business fields such as Math, Statistics, Economics, Computer Science, Operations Research, Engineering, or Physics | Apache Spark |
| 3094 | 7150 | Senior Embedded Engineer | We are looking for a Senior Embedded Software Engineer to join a highly skilled software team that has been formed under the Office of the CTO. In this role, you will assume a hands-on role in the architecture, design, and implementation of embedded software platforms and applications. You will be working closely with both software and hardware teams to understand and translate architecture and design requirements to production-ready and commercially deployable solutions. The ideal candidate is expected to demonstrate a structured and very detail-oriented approach to their work. She/he is self-motivated and focused, is comfortable collaborating with geographically dispersed teams, is passionate about Software and Systems Engineering, and is interested in neural networks. She/he has always been a strong team player, and eager to make a difference as a member of a motivated team. She/he will possess strong analytical and troubleshooting skills, excellent written and spoken communication skills, and a strong drive to solve problems and disrupt the status quo. Essential Duties and Responsibilities Develop embedded systems and components with a strong focus on efficiency, stability, and scalability.Evaluate requirements, architectures, tools, and quantify design and performance tradeoffs.Collaborate with other teams of the organization to ensure successful commercialization, deployment, maintenance, and support of developed systems and architectures.Maintain detailed records of work and produce technical reports and presentations for other groups of the organization. Required Skills Bachelor's or Master's degree in any of Electrical Engineering, Computer Science, Software EngineeringSolid, senior-level engineering skills that enables you to independently produce well-tested, production-ready products in a short turnaround timeStrong coding skills in C/C++, Python, and scripting, coupled with large code base developmentStrong experience with embedded systems, preemptive and multitasking RTOS, HW interfaces, and communication protocolsFamiliarity with common software and hardware architectures, microprocessors, and microcontrollersExperience with coding standards, code reviews, source code management (preferably Git), build management, and testing methodologies Preferred Skills Unix/Linux skillsAgile/Kanban development expertise.Familiarity with Atlassian Data Center applications.Audio and/or imaging applications, IoT, MR, Autonomous Driving Work Environment This position involves working mainly in a typical desk/office environment, but it can also involve working in a lab setting; travel to other company locations/offices may be required occasionally | Neural Networks |
| 590 | 1044 | Data Science Consultant | ZS is the world’s largest consulting firm focused exclusively on improving business performance through sales and marketing consulting solutions, from customer insights and strategy to analytics, operations and technology. Together, we design and implement strategies that lead to greater market share, more competitive operations and increased use of today’s latest technologies. From our worldwide offices, ZS professionals draw on deep industry and domain expertise to deliver impact where it matters for clients. We are particularly known for our expertise in the pharmaceutical and health care sectors, yet work across a range of industries. ZS' Business Consulting group delivers solutions to a broad spectrum of sales and marketing challenges. We also help our clients transform their sales and marketing strategies and organizations to improve their effectiveness. Our recommendations and solutions are based in rigorous research and analysis underpinned by deep expertise and thought leadership across the demand generation process. DATA SCIENCE CONSULTANT Data Science Consultants (DSCs) design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. DSCs will research and develop new offerings/solutions, deliver client impact by collaborate to deliver client solutions and develop the ZS point of view in this space. Responsibilities: Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner; Execute and teach application of statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large, unstructured data sets to identify trends, figures and other relevant information; Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings; Evaluate emerging datasets and technologies and help define our analytic platform; Own development of select assets/accelerators that create scale; Contribute to thought leadership through research and publication; Guide and manage project teams of Associates/Associate Consultants. Qualifications: PhD degree in Computer Science, Statistics or related discipline, plus 2-4 years of relevant post-PhD work experience; In lieu of a PhD, 5-8 years of relevant post-collegiate job experience; Experience with big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.); Relevant programming background (e.g. Java/Python/R); Strong understanding of relevant tools/platforms (e.g. Hadoop eco system and database systems); Agile project planning and project management experience; Team management and skill development experience; Relevant domain knowledge preferred; (healthcare/transportation/hi-tech/insurance); Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem solving skills; High motivation, good work ethic and maturity. ZS is a global consulting firm; fluency in English is required, additional fluency in at least one European or Asian language is desirable. Candidates must possess work authorization for their intended country of employment. An on-line application, including a cover letter expressing interest and a full set of transcripts (official or unofficial), is required to be considered. ZS offers a competitive compensation package with salary and bonus incentives, complete medical/dental/life insurance programs and retirement savings benefits. We are an Equal Opportunity Employer. NO AGENCY CALLS, PLEASE. Connect with ZS on social media: Like ZS Careers on Facebook Follow ZS Careers on Twitter and Instagram Follow ZS on LinkedIn for more job opportunities Subscribe to the ZS YouTube channel Explore the Life at ZS blog ZS has been recognized globally for its expertise in consulting and its flexible work environment. View ZS’s accolades. | Text Mining |
| 1300 | 3235 | Intern - Office of the CTO - Vx:RAIL Machine Learning Project | Internship University Summary: VMware recognizes that today’s students are tomorrow’s trailblazers and we value the opportunity to benefit from your fresh perspective. If you thrive in an open, innovative, technology-driven culture, VMware could be the place for you! You will be exposed to a wide range of software platform technologies that are utilized by customers all over the world. Business Summary: VMware is a global leader in cloud infrastructure and business mobility. VMware accelerates customers’ digital transformation journey by enabling enterprises to master a software-defined approach to business and IT. With VMware solutions, organizations are building extraordinary experiences by mobilizing everything. Our customers are responding faster to opportunities with modern data and apps hosted across hybrid clouds, and safeguarding customer trust with a defense-in-depth approach to cybersecurity. At the core of what we do are our people who deeply value execution, passion, integrity, customers, and community. Do you dare to do the stuff you’ve always dreamed about? Dare to explore at http://careers.vmware.com. VMware offers cutting-edge cloud infrastructure and security services to companies of all shapes and sizes. Our world is all about technology, and that world is growing because the imagination, ingenuity and talent of our teams knows no bounds. We believe that creativity sparks innovation and inspires our employees to think of VMware differently and change the world around them. Are you interested in working on one of the below teams? Hyper Converged Storage Applications Services Job Role Description VxRail is a very fast growing HCI (Hyper-Converged Infrastructure) product line backed by Dell Tech (both the old EMC and Dell team) and VMware. VMware VxRail team is looking for an intern with excellent analytical skills to join and be part of developing the leading edge VxRail and HCI products. Job Responsibilities: Participate/Lead in the architecture, design, and implementation of a distributed storage platform for container-packaged applications. Build rapid prototypes and work on dynamic projects. Participate in design and code reviews. Provide technical specifications, talks, presentations and white papers for new designs and architectures. Collaborate effectively with other staff to solve complex problems. Assist with debugging and verification of defects in your own and others' work. Server as an evangelist and champion for Open Source Software communities. Required Skills: Pursuing Bachelor’s, Master’s or PhD in Computer Science or equivalent Working knowledge of Machine Learning/heuristics data analysis and Kubernetes. Coursework (in some) of the following: Algorithms, Data Structures, Storage and\or Operating Systems, Computer Architecture, Machine Learning, Compilers, Networking, Distributed Systems, Analytics. Knowledge in one or more of the programming languages: C, C++, Java, or Go programming Knowledge in Python, Perl, shell, or other scripting languages Strong teamwork and communication skills Preferred Skills: Experience developing client-server or distributed, multithreaded applications Exposure to SaaS or FaaS, modeling/optimization techniques Previous internship experience is a plus Ability to work independently Willingness to contribute to open source projects is a plus | Machine Learning |
| 3391 | 7565 | Summer 2019 Intern - Data Analytics | Temporary, Internship As a College Intern for our Fossil Data Analytics team, you will help deliver statistical models, segmentation analysis, and customer insights that will inform major marketing, supply chain and other business decisions. You will also convert our data into meaningful and actionable business analysis and insights. As an intern, you will work alongside your team on a variety of projects. Your experience as an intern at Fossil is both educational and fun, while keeping you connected with your mentor, manager, and fellow interns. You will gain exposure to company leaders through roundtables, your final project showcase, and other company functions. All intern positions are at Fossil’s headquarters based in Richardson, Texas. Applicants need to be willing to relocate during the course of the internship and provide their own transportation and accommodations to complete a 40 hour work week. This is a paid internship. Your Skills 1-2 years of hands-on marketing research experience Currently enrolled in Master’s degree or equivalent with concentration in statistics, mathematics, computer science, business analytics or related field Experience in a variety of analytical techniques including: multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, pricing models, decision trees, or other advanced methods Experience with analytics tools (such as R, Python, Tableau, Alteryx) Experience in SQL and data manipulation Strong analytical, project management and communications skills | Neural Networks |
| 1771 | 4979 | Senior Financial Analyst | Commission ************************ Senior Financial Analyst ************************ Databricks, founded by the co-creators of the wildly popular Big Data analytics technology Apache Spark, is focused on making Big Data simple. Databricks' customers extract tremendous value out of its Cloud offering and the combination of data processing and advanced analytics capabilities. The primary target audiences are data scientists and data engineers. Company growth requires more financial resources. This position will report to the Director of Finance in an individual contributor role in the planning department. You and the Director of Finance will expand and refine the reporting, analysis, and planning for the company. We will build on a solid foundation so that operational information is timely, accurate, and relevant. The Senior Financial Analyst will be the primary operations financial analyst and business partner for the R D, Marketing and G A groups and will prepare reports, dashboards, budgets, forecasts, analysis, and meeting materials; will own headcount and spending forecasts and reporting; will work closely with the Director of Finance and SVP of Finance to meet the operational and financial planning needs of the company. Outcomes Immediately support the groups as finance partner providing budgets, forecasts, reports and analysis. Support the long range plan activities. Develop budgets with the financial planning team and management. Own elements of the monthly and quarterly Financial Dashboards. Refine and improve the Dashboard elements as required. As a member of the Finance team implement and maintain systems and methods of obtaining and disseminating operational information. Responsibilities Maintain the tools providing detailed information regarding actual and forecasted spending by vendor. Source of data is Netsuite for accounting and Adaptive Insights for forecasting. Develop budgets, forecasts and key metrics for the functional operating groups (HR, Recruiting, Finance, IT, Legal, Facilities, and Marketing). Each month and quarter track, analyze and report on variances to budgets and forecasts. Competencies / Requirements Understanding of financial and operational accounting. Financial analysis, planning, and modeling experience. Understanding of business models and modeling practices. Ability to identify the core business issues and how to address those issues through analysis and recommendations. Excellent communication skills. Experience with systems such as Netsuite, salesforce.com, Adaptive Insights, and Coupa are plus . Benefits Competitive salary with uncapped commission and aggressive accelerators Medical, dental, vision 401k Retirement Plan Unlimited Paid Time Off Catered lunch (everyday), snacks, and drinks Gym reimbursement Employee referral bonus program Awesome coworkers Maternity and paternity plans About Databricks Databricks' mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Viacom, Shell, and HP. For more information, visit www.databricks.com ( https://databricks.com ). Apache, Apache Spark and Spark are trademarks of the Apache Software Foundation. | Apache Spark |
| 3008 | 6993 | Senior Software Development Engineer, Alexa | Bachelor's degree in Computer Science, Electrical Engineering, or related technical field 10+ years experience developing software with languages such as Java, C/C++, Python, Go and open-source technologies (Apache Hadoop, Spark) 3+ years experience with OO analysis and design Knowledge of data structures, algorithm design, problem solving, and complexity analysis Experience developing cloud software services and an understanding of design for scalability, performance and reliability Alexa is the groundbreaking cloud-based voice service that powers Echo and other devices designed around your voice. Our mission is to push the envelope in Natural Language Understanding (NLU), Machine Learning (ML), Automatic Speech Recognition (ASR), and Speaker Recognition, in order to provide the best-possible experience for our customers. We’re looking for a Software Development Engineer to help build industry-leading speaker recognition technologies and machine learning systems that customers love. As a Senior Software Development Engineer for the Alexa Engine team focused on Speaker Recognition, you will be responsible for the design, development, testing, and deployment of scalable distributed services with high level of operational excellence . In addition, you will build automated machine learning workflows with configurability, traceability, recoverability to enable faster experimentation. You will also partner with scientists and other engineers to help invent, implement, and connect sophisticated algorithms to our cloud based runtime engines. You will bring software best practices rigor to the machine learning domain by enabling continuous integration, continuous deployment of software artifacts. Prior domain knowledge including ML, ASR, and NLU is a preferred, though not required. However, strong motivation to learn ML, ASR and NLU is critical for successful candidates. Candidates should also be very agile in developing flexible software with respect to scientific, experimentation methods and usage patterns. Additional responsibilities include: Designing, developing and maintaining core system features, services and engines Helping define product features, drive the system architecture, and spearhead the best practices that enable a quality product Working with scientists and other engineers to investigate design approaches, prototype new technology, and evaluate technical feasibility Operating in an Agile/Scrum environment to deliver high quality software against aggressive schedules | Speech Recognition |
| 2317 | 6056 | Data Scientist | GS5, LLC, a Northern Virginia based Limited Liability Company, provides a range of analytical, acquisition, and business management support services and products to Intelligence and Command and Control communities within the Department of Defense. Privately owned by the principle founders, the company leverages its domain expertise in intelligence, technical services, acquisition and program management, and engineering support. GS5's mission is to provide best-in-class services and solutions essential to our customers. GS5 was named Prime Contractor of the Year by the Small Business Administration, was also voted one of Virginia’s Top 100 Diversity Owned Small Businesses. GS5 was twice named to the Inc. 500 list as one of America’s Fastest Growing Private Companies; we have also received honorable mention on the Washingtonian magazine’s "Great Places to Work" list. GS5 is an Equal Opportunity/Affirmative Action Employer, Minorities/Women/Veterans/Disabled Service * Solutions * Standards * Satisfaction * Success GS5, LLC is looking for a TS/SCI cleared Data Scientists Minimum Qualifications: Entry Level: 3 Years Journeyman Level: 6 Years Senior Level: 10 Years 3+ years of experience with High-level languages, including Java. 2+ years of experience with distributed scalable big data storage, including Accumulo, Cloudbase, HBase, or Bigtable. Experience in MapReduce programming with Apache Hadoop, the Hadoop Distributed File System (HDFS), and processing large data stores. Experience with a Real-time large scale data processing engine, including Apache Spark. Experience with using Agile software development methods in a DevOps environment. Experience with developing solutions and integrating and extending free and Open-source software (FOSS) or COTS products. Ability to exhibit flexibility, initiative, and innovation when dealing with ambiguous and Fast-paced situations. BA or BS degree. Must possess an active TS/SCI security clearance. Job Description: The Data Scientists are expected to: Entry Level: Applies fundamental concepts, processes, practices, and procedures on technical assignments. Performs work that requires practical experience and training. Work is performed under supervision. Journeyman Level: Possesses and applies expertise on multiple complex work assignments. Assignments may be broad in nature, requiring originality and innovation in determining how to accomplish tasks. Operates with appreciable latitude in developing methodology and presenting solutions to problems. Contributes to deliverables and performance metrics where applicable Senior Level: Possesses and applies a comprehensive knowledge across key tasks and high impact assignments. Plans and leads major technology assignments. Evaluates performance results and recommends major changes affecting short-term project growth and success. Functions as technical expert across multiple project assignments. May supervise others Develop and operationalize innovative Big Data software solutions in direct support of an unconventional warfare client. Perform as a data scientist, helping the team on a distributed scalable Big Data store, including Apache Accumulo, Apache Hadoop, MapReduce programming and technologies, and real-time data processing with Apache Spark. Participate in the development of machine learning, data mining, and statistical or graph-based algorithms designed to fuse and analyze massive data sets. Use expertise to ensure the proper implementation and usage of employed algorithms and bring in cutting-edge innovations from industry and academia. Leverage knowledge of requirements analysis, installation, integration, evaluation, enhancement, maintenance, testing, and diagnosis or resolution. Conduct software development, software integration, statistical analysis, modeling, and simulation all in a rapid DevOps environment. Sync across functional teams, ensuring data science is supporting mission-focused analytic teams and work with rapid prototyping teams on site to deploy new data science capabilities through existing toolsets. Desired Quals: Experience in working with various intelligence disciplines, including GEOINT, HUMINT, MASINT, OSINT, and SIGINT and comprehension of the data and tools associated with these disciplines Experience with intelligence or operations analysis in the DoD or intelligence community Experience with deploying applications in a Cloud environment Experience with designing and developing automated analytic software, techniques, and algorithms Experience with open source software, including GeoWave and MapReduce Geo (MrGEO) Security+ or CISSP and DoD 8570 Compliance Certification Essential Duties of the Job: Ability to communicate task requirement information to client in a clear and concise manner. Must be able to sit and stand for prolonged periods of time, as well as lead and participate in meetings and working groups. Requires visual acuity to use a keyboard. Must be able to attend work each day, during scheduled hours, unless on travel or approved time off. Ability to work on computer for long periods, and communicate with individuals by telephone, email and face-to-face. Physical Demands and Work Environment: While performing duties of job, employee is occasionally required to stand; walk; sit; use hand to finger, handle or feel objects, tools, or controls; reach with hands and arms; talk and hear. Employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. May be exposed to chemicals related to office equipment. The noise level in the work environment is usually moderate (i.e. general office environment). Benefits: 401 K w/ up to 3.5% Company Match Health, Dental Vision Insurance Basic Supplemental Life Insurance Short Long Term Disability Insurance Flexible Spending Account Performance and Other Bonuses Available 10 Paid Holidays Paid Time Off (PTO) Gym Membership (varies by location) Corporate-Sponsored Events | Apache Spark |
| 523 | 922 | Support Engineering Data Scientist | Summary Posted: Nov 5, 2018 Weekly Hours: 40 Role Number: 200002960 Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just create products - they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. The AppleCare Platforms and Services Reporting Analytics team is seeking a Data Scientist for our Product Feedback programs. You will help define, execute, and identify insights that influence new strategies for supporting the product feedback loop. You will also be a hands-on, passionate and deep expert with analytics tools. Experience with advanced machine learning or statistics, experience working with BI tools and a keen analytical mind are key for success in this fast-paced environment. This role can sit in either Sunnyvale, CA or Austin, TX. Key Qualifications Industry experience in a Data Science role, in the areas of Data Mining, Machine Learning, Statistics and BI Visualizations. Strong experience in customer support, preferably in the area of product feedback. Exposure in defining critical metrics for a customer support business. High level proficiency with R, Python,Tableau and SQL. Knowledge of statistical methods including Logistic Regression, Multiple Linear Regression, Factor Analysis, Structural Equation Modelling, ANOVA (Design of Experiments), Time Series Methods etc. Knowledge of Machine Learning algorithms like: SVM, Neural Nets, Random Forest, K-means clustering, K nearest neighbour, Association Rule Learning etc. Expertise with Text Mining methods is especially desired. Familiarity with database modelling and data warehousing principles with a working knowledge of SQL. Ability to synthesize data from multiple sources for a deep understanding of opportunities. Deep business thinking skills, with the ability to answer business questions, with quantitative and qualitative analysis. Excellent interpersonal, written, and verbal communication skills. Ability to work independently and make key decisions on projects. Description Analyzing and evaluating the performance of key business metrics for customer support. This would include mining data from various BI systems, analyzing implications and providing thoughtful analysis to the organization. Analyze large datasets to glean actionable insights and present results of analysis to team and leadership across Apple. Thinking deeply about ways to support new programs while improving the accuracy of our product issue classifications, ensuring data integrity, and scaling the team's analytical capabilities. Education Experience MBA, Masters or Doctorate in Statistics, Mathematics, Operations Research or equivalent professional experience. 5-8 years of research and analytics experience. Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. | Text Mining |
| 2004 | 5657 | Software Development Intern- Summer 2019 | Part-time, Temporary, Internship Job Description BIT Systems (BITS), a CACI company, is currently seeking Software Engineering Interns to join our team in our Aurora, CO office. As an Intern, you’ll work on a team that is literally changing the state-of-the-art of geospatial software. Our software is used worldwide, with a growing user base. You’ll be working in Java 8, JavaFX, JEE, ReST, and other enterprise technologies. You may also be exposed to OpenGL, GIS OGC standards, continuous integration and automated testing tools such as Jenkins, and JUnit. Candidates should be comfortable operating in all phases of the application lifecycle. Use of industry-proven design patterns and open source tools is encouraged. This position requires a combination of supporting existing applications as well as new development work. The commitment of our BITS employees to "Engineering Results" is the catalyst that has propelled BITS to becoming a leader in software development, R D, sensor development and signal processing. Our engineering teams are highly adept at solving complex problems with the application of leading-edge technology solutions, empowering decision-makers to make better mission-critical decisions. Our operational team excels at signal collection, processing and analysis. We have operational personnel stationed around the world in support of our customers' missions. BITS is part of the larger CACI National Cyber Security (NCS) Business Group and spans five core mission areas, enabling us to specifically tailor services and solutions to meet our nation’s most pressing national security objectives: Cyber Intelligence Solutions, Digital Signal Processing (DSP) Development, Radio Frequency (RF) Solutions, Mission Application Development, and Geolocation Solutions. Technologies you will be exposed to:Java 8 (including JEE, ReST web services, JavaFX) Agile Software Development, Open Source Application Development and Contributions User Interface (UI) Development (HTML, JSP, MVC Frameworks, GWT or other Web 2.0 Frameworks, JavaFX) Distributed Messaging (e.g., Apache Camel and JMS) Apache Spark Continuous Integration and Source Management (e.g., Jenkins, Cruise Control, Subversion, GIT) Instrumentation and Performance Monitoring using JMX and Log4J Unit testing with JUnit SQL and NoSQL DBMS Query Languages High Throughput Messaging (Billions of messages per day) RequirementsU.S. Citizen Ability to Obtain a Security Clearance, Background Investigation and Polygraph No Drug Use What We Can Offer You: We’ve been named a Best Place to Work by the Washington Post. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive benefits and learning and development opportunities. We are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities. For over 55 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success. Job Location US-Aurora-CO-DENVER CACI employs a diverse range of talent to create an environment that fuels innovation and fosters continuous improvement and success. At CACI, you will have the opportunity to make an immediate impact by providing information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. CACI is proud to provide dynamic careers for employees worldwide. CACI is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities. | Apache Spark |
| 514 | 909 | Advanced Analytics Enablement Cognitive - Consultant | Work you'll do AAE Cognitive Consultants will be responsible for designing and implementing strategies, architectures, ingestion, storage, consumption and delivery processes for complex, large-volume, multi-variate, batch and real time data sets used for modeling, data mining, and research purposes. Perform data studies and data discovery routines for video, voice, weblog, sensor, machine and social media data sources or mash ups of new and existing data sources. The Team Analytics and Information Management At Deloitte Consulting LLP, our Analytics and Information Management team is responsible for transforming numbers and statistics into actionable information for our clients. We help them predict, plan, and adapt their business strategies to meet real-time challenges and confidently help navigate past whatever obstacles come their way. We take a holistic approach to data and offer a broad range of integration and analytics capabilities, including: Information Delivery, Data Management and Architecture, Digital Finance Technology and Advanced Analytics Enablement. Learn more about our Analytics and Information Management practice. Qualifications Required: 2+ years of relevant Analytics consulting or industry experience At least 6 months experience in Natural Language Processing (NLP), Linguistics, Advanced Semantic Design, Visualization At least 6 months experience in implementing IBM Watson, Cognitive scale. Apache At least 1+ years in Java Programming at User Interface (UI) level Demonstrated expertise with one full life cycle analytics engagement across strategy, design and implementation. Bachelor's Degree in Engineering, Mathematics, Emperical Statistics or 4 years equivalent professional experience Ability to travel 80-100% of the time (Monday – Thursday/Friday) Preferred: Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) Frameworks to process end to end data management life cycle for NLP, Machine Log Algorithms, Text Mining algorithms. Ability to work independently and manage multiple task assignments. Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint). Strong problem solving and troubleshooting skills with the ability to exercise mature judgment. An advanced degree in the area of specialization is preferred. Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint). Strong problem solving and troubleshooting skills with the ability to exercise mature judgment. Eagerness to mentor junior staff. An advanced degree in the area of specialization is preferred. How you’ll grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Recruiter tips We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you’re applying to. Check out recruiting tips from Deloitte professionals. | Text Mining |
| 1788 | 5053 | Back End Engineer | As a backend engineer, you’ll be key to the design, implementation, and maintenance of our enterprise software solution. You are expected to exemplify exceptional coding standards, utilize relevant tools and platforms, and aid in establishing best practices for the backend team. You will require the ability to work deeply on a particular product component, and more broadly across several aspects of the system. Specifically, you’re someone who will: Contribute to the design and development of key server-side features and components Designing and building components from the ground up Utilize micro-services and clean API design to create usable interfaces Contribute to an architecture that anticipates large deployments and can handle scale Triage bugs, track software defects, and ensure timely resolution and communication Maintain high technical and development standards, always looking to improve quality, performance, and feature-sets Qualifications Enjoys the startup life and is willing to live/relocate to balmy Southern California Bachelor’s and/or Master’s degree in computer science OR related field of study 3+ years experience in software development shipping production code Experience working on backend systems at scale, using technologies like Go, Python, Hadoop, Elasticsearch, Apache Spark, (or previous experience with C++ / Java) Experience engineering SaaS and Cloud Architectures Experience with network programming and distributed systems (Sockets, Kafka, RabbitMQ) Experience with Linux, containers and virtual machines Strong communication skills to be used across engineering, product, and other functional teams Data Science and/or Cyber Security knowledge a strong plus Strong written and oral skills (in English) At Obsidian, we value diversity and freethinkers and are proud to be an equal opportunity employer. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization to work in the United States. Note to all recruitment agencies: Obsidian does not accept applicant resumes from any agency with whom Obsidian does not have a written agreement. Obsidian is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a written agreement with Obsidian. | Apache Spark |
| 973 | 2283 | Senior Data Scientist, Supply Chain | Wake up each day knowing that you are a part of something special. Something real. Something bold. What you do can make a difference. Coyote is an industry-leading transportation and logistics service provider that believes in doing the right thing every time. Every hour. Every minute. Every second. Are you looking for a place where you will have a role in shaping an industry? Are you Tenacious, True, Tribal, and Smart? Then it’s time for you to apply to join the pack. Senior Data Scientist, Supply Chain We are seeking an experienced Senior Data Science professional with a passion to derive value from data and insatiable curiosity to learn and try new things to join the Supply Chain Research Innovation group in our Strategy Services department. The Supply Chain Research group at Coyote Logistics is responsible for designing, selling, and implementing Coyote’s emerging portfolio of non-transactional supply chain services. As a senior data scientist in the Supply Chain Research Group, you will play a key role in designing and implementing Coyote’s product and service portfolio in the context of its broader competitive strategy. You will do this by conducting statistical analysis, proposing supply chain solutions, developing machine learning methodologies and contributing to a variety of research activities. Primary responsibilities will also include suggesting new innovative research approaches and exploring relevant evolving technologies. Daily Tasks Responsibilities Creating, designing and prototyping out next-generation machine / deep learning technologies in the areas of supply chain operations (tactical and strategic), transportation science Designing and developing effective recommendation models, features and algorithms involving user activities and interests, pattern recognition, trends Prototype real-time updating models to predict/estimate operational levers that adds value to our business Analyzing and designing operational solutions for projects such as vehicle routing, disruption prediction, trip recommendation, etc. Establishing Coyote’s position as an industry thought leader through publishing articles and white papers, speaking at relevant industry conferences, and developing strategic value-added relationships with Coyote’s customers and academic institutions Building a best-in-class supply chain research innovation team that differentiates Coyote from market competitors with regard to scope, creativity, innovation, and efficiency Leading diverse project teams focused on both internal and external improvement efforts Collaborating with Logistics Analysts and Information Technology teams on a project-by-project basis Evaluating effectiveness of current or future logistical process for Coyote clients Essential Skills, Characteristics, Experience 5+ years of experience in Machine Learning, AI, Predictive Modeling MS/PhD in Computer Science/Mathematics/Supply Chain/Statistics preferred Strong quantitative analysis, programming, and statistical modeling skills. Understanding of core ML concepts and its application in solving real world problems High level of comfort in Python and R Experience coding Microsoft SQL, C#, Visual Basic Experience working on some modeling tools for optimization, data-simulation, statistics etc. Capable problem solver who uses logic to create effective solutions to complex customer problems Team focused and accountable of commitments made to the business Previous experience in Transportation, Logistics and IT Systems experience preferred Why Coyote? Onsite training ongoing career development Competitive base salary Comprehensive benefits package Great perks like onsite haircuts, massages, and intramural sports Significant advancement opportunities for outstanding performers Casual dress and company lunch Coyote is an at-will employer. We are an Equal Opportunity Employer. | Pattern Recognition |
| 3042 | 7090 | Data Science Instructor | Part-time Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today's most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 40,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our corporate training programs. GA has also been recognized as one of Deloitte's Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education. We are looking for a Data Scientist to facilitate our local class. Our Data Science Immersive course is a life-changing educational experience where students leave with the skills and mindset to take on new careers in a wide variety of Data Science roles. Why Be a Part of the Data Science Immersive? If you are looking to make a life-changing impact by doing what you know and love, this is the position for you. Through this unparalleled opportunity, you will: Deepen your own skills by guiding students through a rigorous journey where they begin as driven novices and leave as empowered data analysts and scientists Contribute your own expertise to a deep and broad global curriculum maintained by a team of talented data science instructors across multiple industries Facilitate a supportive and energetic community that lasts well beyond the course Hone your own leadership skills by working with an instructional team and classroom community As a member of the instructional team, you will not only impact the careers of your own students, but you'll also have a unique opportunity to shape the potential of students on a global scale through contributions to our global curriculum. Skills and Qualifications Must Haves: You have at least 6 months of professional data science experience. You are an expert in SQL, Python, and related Python libraries (pandas, numpy). You have domain expertise in statistics, mathematics, and probability. You can build and apply statistical models in python using machine learning libraries, such as scikit-learn and statsmodels. You have a deep understanding of statistical hypothesis testing and experimental design, data visualization techniques and tools (i.e. matplotlib, bokeh, etc), and manipulation of large data sets. You can demonstrate and explain the function of machine learning algorithms such as regularized regression, naive bayes, decision trees, ensemble methods, KNN, K-means clustering, and neural networks. You are the person your colleagues naturally gravitate to when they are trying to figure something out. You are eager to shape the skills, minds, and trajectories of the newest generation of data scientists. Nice to haves: You have proficiency with NLP python libraries such as NLTK; Hadoop or Apache Spark; D3.js or R. You are on top of industry trends in big data, machine learning, deep learning, and AI. You have previous data science or engineering teaching experience, through a course, workshop, team training, etc. Responsibilities and Duties Plan and implement a 12-week curriculum in conjunction with baseline materials and your local instructional team. Deliver instruction 5 days a week, including teaching, advising, and content development. Work closely with your instructional team to provide students with meaningful and prompt feedback on their progress. Collaborate alongside GA staff in order to best meet the needs and learning styles of your students. Guide students through the development of real world projects that will showcase their abilities to hiring managers. Facilitate a dynamic and collaborative classroom community. Inspire students to persevere through the challenges of learning complex subjects. Contribute to the material and direction of an expanding global curriculum, ensuring the course remains cutting-edge and effective for students worldwide. General Assembly is a licensed school in all states that we operate in, and some states require instructors to be licensed to teach. If hired, you will be required to submit and be approved as an instructor in relevant states. Directions for becoming licensed will be shared with you during onboarding. Licensure requirements vary by state, but you may be required to provide academic transcripts and to answer questions pertaining to moral character, professional conduct, education, and work history. General Assembly will pay for all licensing fees. | Neural Networks |
| 3623 | 7831 | Senior Backend Engineer | About the Company: ------------------ Clarifai is an artificial intelligence company that excels at visual recognition. We do not sell an abstract, futuristic technology - we sell a solution that people can use today to solve real-world problems. We believe that the same AI technology that gives big tech companies a competitive edge should be available to developers and businesses. That's why we build products to make it easy, quick, and inexpensive for them to innovate with AI, go to market faster, and build better customer experiences. We make "teaching" AI just as accessible as we make using AI, which is why our technology is the most personalized, unbiased, accurate solution in the market. We have secured $30M in funding up to date, backed by Menlo Ventures, Google Ventures, USV, NVIDIA, Qualcomm, Osage, Lux Capital, LDV Capital, and Corazon Capital. To continue to succeed, we need people like you to join the team! Clarifai is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. The Opportunity: ---------------- As a Senior Engineer, you collaborate with your colleagues on the backend team to set a technical vision for our AI systems, as well as train and mentor engineers to develop their skills and technical understanding. You architect our AI web services in addition to improving existing features, reliability, flexibility, and scalability as usage increases. We are looking for someone comfortable in several programming languages and excited about building new features in Go and Python. You should care about software design and have built systems that other people love to use and work with, and have experience building and scaling distributed, highly-available systems. Our backend tech stack includes Python, Go, Postgres, Docker, Redis, REST, AWS, and Kubernetes (but don't worry if you haven't used some of these- we will teach you anything you don't know!). Impact: ------- You build the systems and services behind the Clarifai magic. Neural networks are data-hungry beasts, and you keep them well fed! Requirements: ------------- You have experience working in a tech company/industry. AI experience is a plus. Your tech stack includes Go, Python, Docker, Kubernetes, Postgres, Cloud and Linux Clarifai has lots of projects, experience in juggling multiple projects is highly preferred. Think fast! Move fast! We hope you thrive working in a fast pace environment. We prefer that you have experience working on a distributed team, but great communications skills and transparency will help everyone on the team. Agile experience. A minimum of 5 years backend software development experience. Eligibility to obtain security clearance preferred. Objectives: ----------- In the first month, you'll start off by learning the ropes. You will: Get familiar with our code base (as well as the backend and infrastructure teams). We would like you to take this time to get comfortable working with what we've built and who has helped build it so far, and give us the feedback only a fresh perspective can bring. Learn about the distinctive challenges of machine learning systems using GPUs. Identify and resolve production bugs. Within 3 months, you will have gained confidence in the code and will: Help to plan feature development, requirements, and our technical road map. Accelerate development of our machine learning API feature set. Improve user management and refining API permissions Build and measure benchmarking and stress test tools. Within 6 months, you'll: Measure and optimize of the customer facing custom training API service. Design, deploy and run web-scale distributed storage systems of various flavors, both relational (mysql, postgres) and nosql (redis, elasticsearch, etc.). Expand on quality assurance infrastructure and continuous deployment. Identify web security risks and write tools to improve security issues. Work closely and communicate with product managers on hiring and timelines. | Neural Networks |
| 36 | 104 | Natural Language Understanding Engineer | We are looking for a Data Scientist to come and work on our growing AI stack. If you are excited about Natural Language Understanding and Semantic Reasoning, AppZen is the right place for you to use and grow your skills. Must-Have: Expert in developing code in Python PhD/MS in Computer Science with focus on Natural Language Understanding/Natural Language Processing Self starter who can be productive from the first day 2-3 years work experience in machine learning in industry Knowledge and experience with ontologies, taxonomies, semantic meaning representation frameworks (RDF/OWL), linked data. Familiarity with database queries and data analysis processes (SQL, Python, Java) Information/knowledge extraction from structured/unstructured text (knowledge or statistics based) Information retrieval tools such as Elastic Search, Lucene, Solr Experience in both R D environment and product development will be a plus. Experience in one or more of the following areas: entity/relation extraction, normalization, text summarization, semantic search, word/paragraph/document embedding, ranking, ontology-aware IR NLP algorithm implementation experience as well as the ability to modify standard algorithms (e.g. change objectives, work-out the math and implement) Experience and/or motivation to work on modern deep learning approaches to NLP: word/paragraph embedding, representation learning, text/sentiment classification, ambiguity disambiguation Experience with neural networks and deep learning frameworks (such as Keras, tensorflow, torch) Excellent communication skills Nice-to-Have: Track-record of having developed novel algorithms, e.g. publications in one or more of the following: KDD, WWW, NIPS, ISWC, NAACL, ACL, SIGIR, EMNLP, ICML etc. | Natural Language Processing |
| 1685 | 4562 | Knowledge Engineer, Data Science - 12 month FTC | AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. At AstraZeneca, we're proud to have a unique workplace culture that inspires innovation and collaboration. Here, employees are empowered to express diverse perspectives and are made to feel valued, energized and rewarded for their ideas and creativity. Department – Data Analytics, S EUIT Science and Enabling Units IT is a global IT capability supporting Drug Research, Drug Development, Product Portfolio Strategy, Medical Affairs, Finance, HR, Compliance, Legal and Global Business Services. We are organized around 7 key capability areas: Business Partnering, Solution Delivery, Architecture, Application Support, Data Analytics, Change Operations, operating out of sites across the US, UK, Sweden, India and Mexico. Data Analytics provides analytics and data insight services and solutions critical to the Data AI/ML emerging strategy and mission of S EUIT and AZ. D A is organized into teams specializing in Information Architecture, Data Engineering, Data Visualisation, Knowledge Management, Data Science, Data Analysis and Information Governance. Role We are looking for knowledge engineers to help up create intelligent applications powered by knowledge graphs and machine learning. In this deeply technical and close-knit team of data scientists, machine learning engineers and knowledge engineers you will create tools that will advance the standard of healthcare improving the lives of millions of patients across the globe. You will create vocabularies and ontologies to capture vast quantities of biological, medical, chemical, and pharmacological knowledge. You will devise data processing and integration pipelines to expand our knowledge graph with data coming from highly heterogeneous distributed data sources. And you will work with our machine learning engineers and data scientists to populate and exploit the knowledge graph to derive new insights in support for our drug development research. Our team empowers our scientists from early development to the late stages in drug development, driving innovation and acting as a catalyst for the adoption of the latest advances in Artificial Intelligence and Data Science. We jointly devise novel approaches to drug development and liaise with our platforms team to transition the latest and greatest technologies and algorithms to production. In this role, besides making a meaningful impact to people's lives you will have the opportunity to engage with exciting drug development research, and use your data science, machine learning and artificial intelligence skills to solve challenging technical and scientific problems. The ideal candidate will possess a blend of computational science skills, knowledge management skills and experience of successfully applying semantic engineering in a pharmaceutical research environment. Key AccountabilitiesDevise rich vocabularies and ontologies to best support the knowledge graph and the integration of disparate data sourcesDesign, develop, test and maintain knowledge graph creation, consistency checking, maintenance analysis and debugging tools.Integrate new structured and unstructured data sources into a coherent and consistent knowledge graphWork closely with data scientists, machine learning, engineering and platform teamsHelp other teams to access and leverage the knowledge graph to answer research questionsDevelop a robust understanding of relevant AZ internal and external content sources and their provenance, quality and structure, to support optimal use Candidate Knowledge, Skills and Experience MS in Computer Science, Natural Language Processing, Semantic Web, Bioinformatics or similar field with 2+ years of experience developing knowledge graphs or exploiting NLP in industry Deep technical skills in knowledge representation, reasoning, graphs, natural language processing, data integration or artificial intelligence Strong software development skills, with proficiency in Java and /or Python preferred Experience with graph technologies, e.g., RDF(S), SPARQL, graph and triple-stores Experience building large scale data processing pipelines Working knowledge of cloud environment (AWS preferred), Hadoop/Spark, SQL Creative, collaborative, product focused Experience of pharmaceutical competitor and scientific intelligence deliveryExperience in using unsupervised and supervised methods over unstructured data: esp with search, text analytics and NLP.Knowledge of scraping documents and document extraction key.Ability to explain complex methods and techniques to a non-technical audience In addition, candidates will be expected to demonstrate:Influencing and innovation skillsGood communication and facilitation skillsGood written and verbal skills, fluent English. The role will have no direct line reports, but task management responsibilities within project or services may occur. AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law. | Text Analytics |
| 1370 | 3341 | Machine Learning Engineer | Job Description The Opportunity Iris is Pluralsight’s learning intelligence platform, an innovative and unique user experience, whose aim is to use data to create a smarter, personalized learning journey. It is cutting edge and a key component of Pluralsight’s strategy. We are growing a team of people from multiple disciplines who love solving complex problems with data and are excited by the prospect of creating the brains behind Iris. As a Software Engineer with a focus on Machine Learning, you will be responsible for building the infrastructure and implementing the algorithms that make Iris smart. You will be working on a cross-functional team with a Product Manager, UX designer, dev ops specialist, machine learning engineers, and software engineers. You’ll be part of a team that is user-focused, has a mentality for experimentation, and iterates quickly. What you’ll do: Develop robust, scalable production data products based on prototype algorithms developed in Python or R by the data science R D team. You’ll evaluate trade-offs and do performance tuning for production traffic. Use your engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning. Build data pipelines. Transform and convert data streams into structures needed for algorithm input. Collaborate with Product Manager and UX Designer to better understand the customer, provide valuable input into functional design and usability. Evaluate the effectiveness of user experiences and ML algorithms, determining what data is needed and how to collect it, with an understanding of how these metrics are connected to the desired outcomes. Apply your experience in making intelligent, forward-thinking, technical decisions to our development process, including implementing new standards, tools, APIs, and workflows. Ways we work: Attention to detail - We want to be proud of our work. Test Driven Development - We maintain a suite of good tests for all production code. Pair programming as well as individual with code reviews - We value collaborative development. Continuous Delivery - Teams independently ship code to prod every day. Agile - we reduce the time to learn by having short feedback loops. Continual improvement - We take time to sharpen the saw and adjust how we work. Autonomous responsible teams - We’re empowered to make our own product and development decisions to do the job. Cross-functional teams - Collaborating through all phases of the product dev process. Customer research - We build what our customers actually want. Leaders who trust - Teams create without top-down feature requirements. Qualifications Who you are: You are proficient at developing software in Python and have a mastery of data structures and database fundamentals, with experience with big data technology stacks. Even better if you also have experience with TensorFlow. You have several years of experience building production services, preferably as part of a product development team. A track record of implementing data-driven products is ideal. You have worked in a collaborative development environment and have experience with continuous integration and delivery. You have a strong foundation in Computer Science and Math, and at least some exposure to the fundamentals of Machine Learning. Regardless of your formal training, you geek out on reading up on modern machine learning techniques and applications. At a minimum, you have a B.S. in Computer Science or relevant quantitative science You care about writing good code and building great software. You understand the trade-offs when we have to move faster, but you know what quality means and how to get there when we need to. You are comfortable moving up and down the stack. It matters less that you know the exact frameworks and tools that we use, but you must be willing and able to learn very quickly. We also mean full stack across other functions - you should be excited to understand the entire business and learn from customers. Additional Information Be Yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. | Machine Learning |
| 585 | 1038 | Data Scientist | Date: Jan 18, 2019 Ericsson Overview: Ericsson is world’s leading provider of communications technology and services. Our offerings include services, consulting, software and infrastructure within Information and Communications Technology. Using innovation to empower people, business and society, Ericsson is working towards the Networked Society: a world connected in real time that will open up opportunities to create freedom, transform society and drive solutions to some of our planet’s greatest challenges. We are truly a global company, operating across borders in over 180 countries, offering a diverse, performance-driven culture and an innovative and engaging environment. As an Ericsson employee, you will have freedom to think big and the support to turn ideas into achievements. Continuous learning and growth opportunities allow you to acquire the knowledge and skills necessary to progress and reach your career goals. We invite you to join our team. Ericsson is now looking for Data Scientists to significantly expand its global team for AI acceleration in Plano, TX. Do you have in depth understanding of Machine Learning and AI technologies? Do you want to join Ericsson’s global team of Data Scientists pushing the technology frontiers to automate, simplify and add new value through data? Responsibilities for Data Scientist Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Develop company A/B testing framework and test model quality. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Prime Qualifications B.Tech/MS in Computer Science, Engineering, Data Science, Operations Research, Business analytics, related fields 8 to 10 years experience of academic, research and real world Data Science training and solutioning 3 to 5 years of practical development of machine learning, Deep learning and artificial intelligence models and algorithms Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Knowledge of deploying applications using docker and kubernetes. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Experience manipulating data sets and building statistical models Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc. DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Therefore employees assigned may be required to perform additional job tasks required by the manager. We are proud to be an EEO/AA employer M/F/Disabled/Veterans. We maintain a drug-free workplace and perform pre-employment substance abuse testing. Ericsson provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, protected veteran status, union membership or genetics information. Ericsson complies with applicable country, state and all local laws governing nondiscrimination in employment in every location across the world in which the company has facilities. In addition, Ericsson supports the UN Guiding Principles for Business and Human Rights and the United Nations Global Compact. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, training and development. Ericsson expressly prohibits any form of workplace harassment based on race, color, religion, sex, sexual orientation, gender identity, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, protected veteran status, union membership or genetic information. Ericsson will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by Ericsson or (c) consistent with Ericsson’s legal duty to furnish information. Employee Polygraph Protection Act Notice - Employers are generally prohibited from requiring or requesting any employee or job applicant to take a lie detector test, and from discharging, disciplining, or discriminating against an employee or prospective employee for refusing to take a test or for exercising other rights under the Act. For more information, visit https://www.dol.gov/whd/regs/compliance/posters/eppac.pdf. Ericsson is an equal opportunity employer and is committed to providing reasonable accommodation for qualified disabled individuals during the application and hiring process. Ericsson will make modifications or adjustments to the job application or interview process that will enable a qualified applicant to be considered for a position. If you require an accommodation due to a disability, please contact Ericsson at hr.direct.dallas@ericsson.com or (866) 374-2272 (US) or (877) 338-9966 (Canada) for further assistance. Primary country and city: United States (US) || || Plano || ServEng | Text Mining |
| 2400 | 6162 | AI Speech Language Processing Advanced Technologist | Huntsville,Alabama,United States BBAPP4 For over a hundred years Boeing has been designing and building the next generation of aerospace technologies. Today, as our industry is being transformed by autonomy, we are leading the innovation and integration of systems and vehicles that will transform how the world transports good and passengers. Employees work in a dynamic and distributed environment where the initiative and contribution of each team member is critical to success. Many projects are multi-year and end with the successful transition and integration of new capabilities to Boeing end product development/deployment. Project work can be funded by Independent Research and Development, Internal Application Development, Contracted Research and Development, or support to a Business Unit. About Us: As the advanced central research and development organization of The Boeing Company, Boeing Research Technology (BR T) provides innovative technologies that enable the development of future aerospace solutions while improving the cycle time, cost, quality and performance of existing Boeing products and services. We are looking for a AI Speech and Language Processing Advanced Technologist interested in and passionate about solving top challenges in autonomy and artificial intelligence to join our team and change the world with us. Responsibilities include: Research and development of a low technology readiness level speech recognition system Investigation, implementations, and evaluation of innovative approaches to automatic speech recognition applied to specific conversations as well as generic conversations Maintaining and improving core system features, services, and engines of the speech processing and text processing platforms Collaboration with other Advanced Technologists to provide solutions to challenging text analytics problems in a fast-paced agile/scrum environment The ideal candidate will have: Experience with natural language processing, speech processing, acoustic modeling, language modeling, and speech recognition In-depth knowledge of classical machine learning and deep learning concepts Developed and delivered speech recognition applications using classical and/or deep learning algorithms Developed dialogue system applications Hands-on experience with natural language processing, machine learning, and deep learning algorithm development Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers and for the world. This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee. Basic Qualifications (Required Skills and Experience): Bachelor's degree 3+ year with object oriented programming Preferred Qualifications (Desired Skills/Experience): A Technical bachelor's degree, Master's degree, or PhD degree from a college or university in a mathematic, scientific or information technology field of study Experience with major deep learning framework such as Caffe, CNTK, Theano, Torch, and Tensorflow Experience developing in the cloud computing or web services environment Professional work experience developing in the cloud computing or web services environment Typical Education / Experience: Technical bachelor's degree and typically 9 or more years' related work experience or a Master's degree with typically 7 or more years' or a PhD degree with typically 4 or more years' related work experience or an equivalent combination of education and experience. A technical degree is defined as any four year degree, or greater, in a mathematic, scientific or information technology field of study. Yes, 10 % of the Time Engineering Test and Tech Individual Contributor No No Standard United States; The Boeing Company Everett;Washington;United States~Tukwila;Washington;United States~ | Speech Recognition |
| 785 | 2029 | Quantitative Imaging and Quality Project Coordinator | Position Summary The Quantitative Image Lab (QIL) at National Jewish Health provides quantitative image analysis for clinical and research purposes, researches methods for efficient large-scale processing of medical images and develops novel image analysis techniques to recognize and characterize normal and abnormal anatomy. This position supports the mission of the QIL by developing and maintaining compliance process and documents and by managing project workflows and timelines. Essential Duties 1. Plans, organizes and documents QIL quality systems, procedures and validation efforts. 2. Authors and maintains documents related to software validation, testing and data analysis in accordance with appropriate standards (e.g. 21 CFR Part 11, GCP). 3. Works with lab researchers and software engineers to develop, maintain and document appropriate procedures for image analysis and quality assurance. 4. Reviews QIL project requirements and define procedures for data management and compliance. 5. Works closely with QIL collaborators to ensure compliance with relevant regulations, institutional and departmental policies. 6. Manages project timelines, schedules, budgets and invoicing; coordinate QIL resources. 7. Ensures compliance with relevant regulations, institutional and department policies. 8. Assists in the development of budgets for grants, contracts and other partnerships for the QIL in coordination with the QIL Director and Director of Radiology. 9. Completes documentation as needed for Institutional Review Board (IRB) proposals and data requests. Other Duties None Competencies 1. Accountability: Accepts full responsibility for self and contribution as a team member; displays honesty and truthfulness; confronts problems quickly; displays a strong commitment to organizational success and inspires others to commit to goals; demonstrates commitment to National Jewish Health. 2. Adaptability: Maintaining effectiveness when experiencing major changes in work responsibilities or environment; adjusting effectively to work within new work structures, processes, requirements, or cultures. 3. Business Acumen: Using economic, financial, market, and industry data to understand and improve business results; using one’s understanding of major business functions, industry trends, and own organization’s position to contribute to effective business strategies and tactics. 4. Decision Making: Identifying and understanding issues, problems, and opportunities; comparing data from different sources to draw conclusions; using effective approaches for choosing a course of action or developing appropriate solutions; taking action that is consistent with available facts, constraints, and probable consequences. 5. Informing and Communicating: Clearly conveying information and ideas through a variety of media to individuals or groups in a manner that engages the audience and helps them understand and retain the message. 6. Peer Relationships: Interacts with others in a constructive, positive, and respectful manner, regardless of individual differences. Assists team members or co-workers in achieving personal goals and completing assignments. 7. Perseverance/Resourcefulness: Accesses and utilizes available resources inside and outside the company. 8. Problem Solving: Uses issue identification, data relation and comparison, pattern recognition and information gathering to create analyses and make recommendations. Supervisory or Managerial Responsibility None Travel None Core Values 1. Be available to work as scheduled and report to work on time. 2. Be willing to accept supervision and work well with others. 3. Be well groomed, appropriately for your role and wear ID Badge visibly. 4. Be in compliance with all departmental and institutional policies, the Employee Handbook, Code of Conduct and completes NetLearning by due date annually. 5. Fosters an inclusive workplace where diversity and individual differences are valued and leveraged to achieve the vision and mission of the institution. 6. Adheres to safe working practices and at all times follows all institutional and departmental safety policies and procedures. 7. Wears appropriate PPE as outlined by the infection control policies and procedures. 8. Demonstrates compliance with all state, federal and all other regulatory agency requirements. Minimum Qualifications Education Bachelor's degree required. Masters in STEM discipline preferred. Work Experience A minimum of three years in research and/or medical imaging required. One year in quality, regulatory systems or software compliance preferred. Experience with 21 CFR Part 11, Good Clinical Practice, and Good Lab Practice or similar preferred. Special Training, Certification or Licensure None | Pattern Recognition |
| 3403 | 7578 | Researcher 3 | Artificial Intelligence Researcher Summary As an Artificial Intelligence Researcher you will apply emerging AI technologies to help create product concepts that generate business value. You participate in airline research in order to provide technical and new business ideas. Research focus is on delivering navigation, crew, fleet, maintenance and flight optimization solutions. Works in a fast pace self-directed global team environment and performs a variety of duties, such as market and business needs analysis, workflow and information analysis, system specification, innovative/creative systems design with associated business value, and concept evaluations with user centered design approach. Investigates emerging technology aviation market trends. Assists with coordination of internal and external customer consultations, demonstrations, and presentations. Assists with generation of high level estimates for R D proposals. Collaborates with peers; coaches university students. Main Responsibilities and Tasks Serves as technical business solutions researcher providing domain experience to peers and management; assists team members and directs future concepts Workflow and information analysis in a self-directed global team, including market focused approach and analysis, system specifications, innovative/creative systems design and concept evaluations with customers, applying known techniques in creative ways. Supports labor estimates for iteration planning and future project planning. Identifies and enlists internal and external partners to be used in departmental research efforts. Researches aviation market trends and utilizes emerging AI technologies to provide new technical business value proposition for future product concepts with high business value Follows best practices from agile processes, works in an iterative and innovative project framework and supports minimal documentation during concept development as appropriate to research environment. Makes recommendations for improvements to existing processes. Researches important targets and areas for innovation, including intellectual property submissions, patents, and publications. Communicates with internal and external stakeholders and customers, including iteration and design reviews, industry presentations, possible participation in industry working groups, R D proposal reviews, and other support as needed. May oversee individual thesis and project work with university students, including working with universities to onboard students; establish national and international university relationships. Attends conferences and reports out on trends and technologies identified. Your Minimum Qualification: Technical bachelor's degree and typically 5 or more years' related work experience or a Master's degree with typically 3 or more years' or a PhD degree or an equivalent combination of education and experience. A technical degree is defined as any four year degree, or greater, in a mathematic, scientific or information technology field of study Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Experience working with and creating data architectures Entrepreneurial initiative with a strong ‘hands-on’ mentality and problem solving skills with an emphasis on product concept development, loves getting things done Motivated by an international and fast-paced work environment with a strong team spirit and motivational character Excels in building cohesive teams through innovation, design thinking and professional collaboration Experience working with research product teams and/or designers to drive insights into product solutions Strong written and verbal communication skills for coordinating across teams. Ability to push boundaries while maintaining a well-structured way of working in self-directed teams and a collaborative environment amongst business as well as academic partners The ideal candidate would also have: Aviation or Airline industry experience Experience in business model frameworks and methodology, e.g. Product Value Proposition Design Business Canvas Modeling Experience with Deep Learning, Deep Networks, Natural Language Processing and Understanding (NLP/NLU) Coding knowledge and experience with agile software development methodologies Education/Experience: Technical degree in a related field of study and typically 5 or more years' related work experience or an equivalent combination of education and experience. | Neural Networks |
| 1406 | 3392 | Data Science/Machine Learning Intern - Summer 2019 | Temporary, Internship Reporting to Senior Director of Data Science About the role Punchh is seeking a Data Science/Machine Learning Intern who will work on Punchh's AI projects. This is a full-time Summer internship role. You will draw upon your statistics, machine learning and data mining skills and contribute to key projects such as customer loyalty campaign analysis and modeling. You will experience first-hand how our Data Science team transforms ideas into AI products for our customers with 1:1 mentorship. What You'll Do Directly participate in: recommender system, personalization, natural language processing, econometrics, to name a few. Gather data and transform them into key data systems. Implementing analytical models that will run in customer products and solutions. Enjoy getting accelerated industrial experience while working in a fast-paced environment. What You'll Need Working towards a bachelor's, master's or doctorate degree in a quantitative field such as Computer Science, Operations Research, Physics, Mathematics or Statistics A solid understanding of statistical modeling/machine learning/data mining Experience programming in a software project at school, professionally or in an open source context Previous hands-on experience in Data Science, Machine Learning or Statistics projects with an enthusiastic, can-do attitude Strong problem solving skills with demonstrated rigor in analyzing data Excellent communication skills and ability to articulate a complex concept with thoughtful, actionable recommendations Bonus Points if You Familiar with distributed computing like Spark, GPU. Familiarity with big data technologies such as Python and R. Familiarity with big data technologies, e.g., SQL (postgres), NoSQL (mongodb, hbase), Hadoop (Hive). Familiarity with recommender system, bandit recommender or reinforcement learning. Start Date Summer 2019 | Machine Learning |
| 3552 | 7756 | Data Scientist | Job description The Data Science plays a key role in our fast-growing Data Science team. They will help us discover the information hidden in vast amounts of data, to make smarter decisions and deliver even better products. The primary focus will be in applying data mining techniques, clustering, statistical analysis, trend forecasting and building high quality prediction systems integrated with our products. The Data Science is accountable for driving data intelligence initiatives and delivering incremental business performance. The ideal candidate is able to provide actionable business insights and recommend data-oriented solutions, developing tools and systems to take operational decisions on an international scale. What You Do : Assist in developing and communicating a deep understanding of business challenges, performing analytical deep dives to identify problems, opportunities and specific actions required Develop statistical applications that can be reproduced and deployed on platforms such as R/Python/Spark using techniques such as Regression, Boosted Trees, SVM, and Neural Networks Drive data quality across product verticals and related business areas Design experiments to maximize insights while minimizing errors Create insights from data, trends and cross-system interactions Enhance data collection procedures to include information that is relevant for building analytic systems Process, cleanse, and verify the integrity of data used for analysis Develop and be accountable for advanced models to resolve business specific needs Coordinate development and interactions with key stakeholders (business, product, IT, etc) Must Haves: Bachelor's degree in Commerce, Computer Science, Mathematics/Statistics, Engineering, or a related field Master or PhD degree, a plus A minimum of 5 years experience with relevant Data Science background Proven record of successful statistical product delivery Ability to execute and deliver data science tools / products via statistical applications such a R or Python Experience with machine learning tools / models / algorithms Experience in solving analytical problems using quantitative approaches Significant experience with SQL and working with large datasets (BigQuery an asset) Knowledge about customer behavioral patterns in an international market, an asset Experience with e-Commerce or Retail, an asset Excellent written and verbal communication skills Strong leadership, time management, and problem solving skills Highly analytical mindset and detail oriented Innovative and strategic thinker Superior research skills Strong ability to present, synthesize and influence change Proven ability to consistently perform independently and as part of a team Ability to multitask and work under pressure in a fast-paced, growing environment Ability to develop and plan product development from scratch Capability to identify and understand weaknesses in systems or methodologies | Neural Networks |
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| 2112 | 5800 | Cassandra / Big Data Engineer | Who We Are: Being a member of Cloudentity means working with passionate and experienced digital enthusiasts focused on cutting edge solutions for Identity Access Management and application security. This means top-talent opportunities, key responsibilities and high-grade/visibility projects for those who join our team. We look for talented team-members ready to learn, embrace challenge and to lead. Who You Are: You are someone who is great at improving application development and integration processes, and enjoys working with modern cloud environments. Do you want to become a member of a growing team of developers and security engineers delivering modern Identity and Access Management products on an enterprise scale? If so, check us out! The Job: In this role you will be helping this exciting team to build a distributed system to handle complex and large applications and efficiently orchestrate application life cycle operations. You will help design new features and architectural enhancements in core components in a cloud-native technology stack. You will be working with our team in Seattle, WA to create a cutting edge product. What you'll need for this position: Ideal candidate will have in depth experience with the following Apache Spark Apache Cassandra Apache Kafka Docker Kubernetes Some Challenges You'll Tackle: You will work with development and SRE teams to review application data models and traffic requirements; identify data model issues and potential bottlenecks; recommend schema design changes, compaction strategies, other improvements. Performance tuning of Cassandra clusters to support high read/write throughput while minimizing latency. Analysis of database access patterns to isolate hotspots, data model problems, and other bottlenecks. Plan, test, and execute standard cluster maintenance activities Cassandra version upgrades. Perform proactive capacity planning and forecasting based on database usage patterns and new business initiatives. Establish standards and best practices for operating a high-performance, distributed NoSQL computing environment. Diagnose and troubleshoot production issues as needed. Communication, coordination and planning with Engineering, SRE and development teams. You Should Have: Extensive experience managing highly-available, large, multi-datacenter Cassandra clusters in production, in a platform/infrastructure/DBA role, preferably in an e-commerce environment. Experience scaling Cassandra clusters to support high read/write throughput and tuning Cassandra the JVM for low-latency response times. Solid understanding of Cassandra data modeling patterns and anti-patterns; experience working closely with development teams to design optimize database schema based on application access patterns. Experience scripting administrative tasks using python or shell scripts. (If you’ve written larger scripts or apps with python, even better.) Experience with configuration management and source control systems (Ansible, Chef, Puppet, Git, SVN). Solid grasp of Unix/Linux operating system management fundamentals. Prior experience working with Agile methodologies. Must have good verbal, written, interpersonal and presentation skills. This is a full time position located in Seattle, WA. Our office is in Belltown, close to the waterfront, Seattle Center, and Lower Queen Anne. | Apache Spark |
| 2906 | 6874 | Bartender, Tipped | GREAT PEOPLE | GREAT BENEFITS | JOIN OUR ALL-STAR TEAM! Bartender, Tipped Guest Services, Inc. is now hiring a Bartender at Giants Ridge in Biwabick, MN! The qualified candidate must be able to work nights and weekends. Apply today to join our All Star Team! Must be over the age of 18 for this position JOB SUMMARY The Bartender is responsible for serving all guests beverages in a fast, courteous and efficient manner. The Bartender must ensure correct billing procedures and provide excellent service to guests, ensuring level of service meets the Company’s standards. The Bartender should be able to properly mix alcoholic drinks for guests over 21 years old, as required by law. ESSENTIAL FUNCTIONS Anticipate customer’s needs and respond appropriately with a sense of urgency. Fill drink and food orders either taken directly from patrons at the bar or through servers. Pour, mix, and serve drinks following standard recipes. Maintain the liquor, garnishes, glassware and other supplies or inventory for the bar. Take payment from customers. Check identification of customers who order alcoholic beverages. Clean all bar equipment, tools, and supplies. Ensure equipment is in good working order. Maintain awareness of safety issues, and report them immediately to your manager. SKILL AND KNOWLEDGE REQUIREMENTS INCLUDE Partial High School education; High School Diploma/G.E.D. preferred. Mathematic Skills. Excellent sanitation habits. Professional appearance. Ability to communicate and attend to guests with the highest standard of service. Ability to pass cash handling and TIPS training. Problem sensitivity and the ability to recognize when a problem has occurred and communicate it to management. PHYSICAL AND MENTAL REQUIREMENTS Moving about on foot to accomplish tasks, particularly frequent movements from place to place within the unit. Bend, lift, carry, reach/extend arms and hands above shoulder height frequently, or otherwise move in a constantly changing environment. Lifting, carrying, and pushing up to 10 lbs. regularly, 10-15 lbs. frequently, and up to 25 lbs. occasionally. Ability to stand for the entire work day. Withstanding temperature extremes in freezer, refrigerator walk-in and grill areas. Reading and writing work-related documents in English. Speech recognition and clarity, including the ability to understand the speech of customers and co-workers and the ability to speak clearly so that you can be understood by customers and co-workers in English. Constantly communicates and receives verbal communication with other employees in fast-paced unit. Physical attendance in unit to perform duties. Must be at least 21 years of age, as required by law. EQUIPMENT USED Knowledge of cash register/POS system used in unit. Bar equipment. Guest Services, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status. | Speech Recognition |
| 3008 | 6993 | Senior Software Development Engineer, Alexa | Bachelor's degree in Computer Science, Electrical Engineering, or related technical field 10+ years experience developing software with languages such as Java, C/C++, Python, Go and open-source technologies (Apache Hadoop, Spark) 3+ years experience with OO analysis and design Knowledge of data structures, algorithm design, problem solving, and complexity analysis Experience developing cloud software services and an understanding of design for scalability, performance and reliability Alexa is the groundbreaking cloud-based voice service that powers Echo and other devices designed around your voice. Our mission is to push the envelope in Natural Language Understanding (NLU), Machine Learning (ML), Automatic Speech Recognition (ASR), and Speaker Recognition, in order to provide the best-possible experience for our customers. We’re looking for a Software Development Engineer to help build industry-leading speaker recognition technologies and machine learning systems that customers love. As a Senior Software Development Engineer for the Alexa Engine team focused on Speaker Recognition, you will be responsible for the design, development, testing, and deployment of scalable distributed services with high level of operational excellence . In addition, you will build automated machine learning workflows with configurability, traceability, recoverability to enable faster experimentation. You will also partner with scientists and other engineers to help invent, implement, and connect sophisticated algorithms to our cloud based runtime engines. You will bring software best practices rigor to the machine learning domain by enabling continuous integration, continuous deployment of software artifacts. Prior domain knowledge including ML, ASR, and NLU is a preferred, though not required. However, strong motivation to learn ML, ASR and NLU is critical for successful candidates. Candidates should also be very agile in developing flexible software with respect to scientific, experimentation methods and usage patterns. Additional responsibilities include: Designing, developing and maintaining core system features, services and engines Helping define product features, drive the system architecture, and spearhead the best practices that enable a quality product Working with scientists and other engineers to investigate design approaches, prototype new technology, and evaluate technical feasibility Operating in an Agile/Scrum environment to deliver high quality software against aggressive schedules | Speech Recognition |
| 1513 | 3521 | Data Scientist, Acquisition and Onboarding, Google Customer Solutions | Minimum qualifications: Master’s degree in a Quantitative discipline such as Mathematics, Statistics, Engineering, Computer Science, Operations Research, or equivalent practical experience. 3 years of experience applying statistical models, and supervised and unsupervised Machine Learning techniques (regression, classification, clustering, pattern recognition, etc.) for Sales and Marketing in B2B and/or B2C settings. Experience mining data using querying languages (e.g. SQL), conducting statistical analysis and coding using open source packages (e.g Python and R). Preferred qualifications: PhD in a quantitative discipline. Experience developing end-to-end data-driven solutions. Experience working with neural networks and deep learning. Experience launching and managing analytical projects, and collaborating with teams across geographies and functions. Ability to work comfortably in a fast-paced and ever-changing environment. About the job Google Customer Solutions (GCS) works with businesses and ad agencies of all sizes and industries. Within GCS, the Revenue, Strategy and Operations (RSO) organization provides business critical insights using analytics, ensures cross-functional alignment of goals and execution, and helps teams drive strategic partnerships and new initiatives forward. We stay focused on aligning the highest-level company priorities with effective day-to-day operations, and help evolve early stage ideas into future-growth initiatives. The Data Science team within RSO helps power a significant portion of Google's business by guiding Sales and Marketing activities. The Data Science team develops, delivers and measures impact of advanced machine learning models and predictive analytics solutions at scale. Recent projects include customer acquisition, routing and sustainability predictions. Our team works in close partnership with several Engineering, Sales, and Marketing teams across Google. As a Data Scientist, you will partner with various Google teams to develop customer-level recommendations and automated solutions, consolidating existing Google technologies and building new ones. You'll also work with others on the team to harness the power of Google’s data with machine learning, to deliver insights at scale that drive both long-term strategy and near-term operations for Marketing and Sales. When our millions of advertisers and publishers are happy, so are we! Our Google Customer Solutions (GCS) team of entrepreneurial, enthusiastic and client-focused members are the "human face" of Google, helping entrepreneurs both individually and broadly build their online presence and grow their businesses. We are dedicated to growing the unique needs of advertising companies. Our teams of strategists, analysts, advisers and support specialists collaborate closely to spot and analyze customer needs and trends. In collaboration, we create and implement business plans broadly for all types of businesses. Responsibilities Collect, cleanse, integrate, data-mine and visualize a variety of internal and external data sources to identify opportunities and influence strategy. Understand business challenges, transform problems into mathematical frameworks, and communicate complex findings in a structured and clear manner to a non-technical audience. Navigate ambiguity, solve complex challenges, and operate in a fast-paced team environment. Design, develop, and deliver Predictive and Machine Learning models to drive customer acquisition and pipeline performance. Collaborate globally with Engineering and Product Management teams for the development and scaling of new data signals and analytical solutions to drive efficiency and effectiveness of sales and marketing. At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by emailing candidateaccommodations@google.com . | Machine Learning |
| 2186 | 5883 | Software Engineer - Machine Learning - New Frontiers | Software Engineer – Machine Learning – New Frontiers Team: New Frontiers Location: Pittsburgh, PA What We Do: Company: We provide an AI software platform that allows enterprises to design, build, experiment, customize, operate and own vertical AI solutions in a wide range of industries and areas, such as healthcare, industrial manufacturing and utilities, financial services, telecommunications, autonomous driving, and beyond. Petuum lets enterprises easily understand and apply AI to gain deep insight for better decision-making and improved productivity and efficiency. Our mission is to enable organizations to own, build and become informed users of their AI solutions, without relying on expensive talents. What You Will Do: Design, implement and evaluate new models and software prototypes to solve problems in machine learning and systems engineering. Provide software design and programming support to machine learning projects. Implement and evaluate machine learning algorithms. Report and present software developments including clear and efficient status and results both internally and externally; both verbally and in writing. Architect and implement software libraries. Other duties as assigned. What You've Already Done: You have a Master's Degree in Computer Science or related quantitative field. A Ph.D. or equivalent practical work experience is a plus. You have 0-4+ years of experience. Experience with implementing machine learning algorithms, algorithm design and software engineering. Experience with implementing numerical methods and data visualization. Experience developing ML models for specific applications. Machine learning domain knowledge such as, bias-variance tradeoff, exploration/exploitation and understanding of various model families, including neural net, decision trees, Bayesian models, LSTM, instance-based learning, association learning, and deep learning algorithms. Experience with filesystems, server architectures, and distributed systems is a plus. Startup experience is a plus. What You Already Know: Languages: Python, C++ (in lieu of Python), R, Matlab, Scala Frameworks/Libraries: TensorFlow, Spark, Torch/PyTorch, Caffe, Theano Platforms: Linux, GitHub, Kafka Tools: Spark, NumPy, SciPy, Apache Spark What We Offer for your Valuable Work: Petuum offers Medical, Dental, Vision, Life/Disability, Paid Time Off, Parental Leave, and more. Petuum is a welcoming workplace that considers applicants for employment without regard to, and does not discriminate on the basis of, gender, race, protected veteran status, disability, or any other legally protected status. Petuum is an at-will employer. | Apache Spark |
| 2940 | 6914 | Corporate Recruiter and Human Resources Business Partner | A re you an experienced professional motivated to make a difference in a career of many in a highly visible position? LoanCare, one of the leading national providers of full service subservicing and interim subservicing in the mortgage industry, seeks an individual with a history of progressive experience in driving growth and inspiring the industry to fill the high profile position of Human Resources Business Partner Corporate Recruiter. The ideal candidate will be a dynamic and visionary professional who rigorously advances our mission while consistently delivering exceptional service. If you possess a can do attitude and confidence in your ability to promote our core values of entrepreneurship and empowerment, now is the time to join our team and become a part of something big. A DAY IN THE LIFE In this role, you will… Be an advocate for the organization and play a critical role in ensuring the organization is hiring the best possible talent Coordination and support of the company Charity and/or Wellness programs and employee activities, coordination and communication of non-traditional benefits Oversee offer of employments for internal promotions and external candidates Make a positive impact to a growing organization by providing outstanding customer service all current and new hire employees Lead company recognition programs of The Champion, Service Awards, and Employee Appreciation events. Partner with Human Resource to enhance employee engagement and manage testimonial program as well as being instrumental in organizations social media platforms WHO YOU ARE You possess … Amazing multi-tasking and time management skills to accomplish several task proficiently High desire to make a positive impact on career seekers and internal employees by helping advance career path Great communicator of both oral and written communications with variety of audience Flexible to be a resource for variety of levels of employee support from front line supervisors to Executive Management Creative to expand LoanCare’s reach into expanding markets and spread the word of LoanCare being an employer of choice WHO WE ARE About us … LoanCare, a ServiceLink company, is a leading national provider of full service subservicing and interim subservicing to the mortgage industry and has offered its expertise and best practices in providing servicing solutions for others since 1991. At the present time, LoanCare subservices over 1 million loans in 50 states. LoanCare has a seasoned loan servicing team with senior managers averaging nearly 30 years of experience in the mortgage and financial services industry. LoanCare is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, protected veteran status, national origin, or any other characteristic protected by applicable law. Essential functions are the basic job duties that an employee must be able to perform, with or without reasonable accommodation. DETAILED JOB DUTIES Develop and maintain strong working relationships with business leaders, vendors, community organizations, and other team members to create a partnership that yields success, predictable results and credibility Monitors and maintains all Department of Labor unemployment notices, potential charges, coach and guide operational management through the hearing process prior to attending hearing, attends hearings as required, maintains the monthly experience rating report for accuracy of claims charged to the company’s accounts. Review resumes and credentials for appropriateness of skills, experience and knowledge in relation to position requirements Responsible for monitoring, maintaining the company’s leave of absence and Family Medical Leave benefits. Ensures all human resources team members are notified of the potential or ongoing status of leave for each employee. Partners with third party administrator and acts as a liaison to the employee and to management. Responds to all requests for leave with formal documentation. Reviews the leave requirements with each employee and manager prior to the commencement of the leave. Creation and communication of reports. Facilitate offers of employment to potential candidates Coordination and support of the company Charity and/or Wellness programs and employee activities, coordination and communication of non-traditional benefits Utilize applicant tracking systems, resume database searches, phone screens and interviews to ensure hiring top talent and be prepared for succession planning. Post job openings in newspaper advertisements, with professional organizations, and in other position appropriate venues Maintain, distribute all recruiting reports Order and monitor all background and credit checks for candidates who have received verbal employment offers All other duties assigned Qualifications MINIMUM QUALIFICATIONS Bachelor’s degree in personnel/Human Resources management or 3 - 5 years related experience. 1-3 years of experience as a general recruiter, plus experience as technical recruiter, recruiting IT professionals for software, Information Technology or hardware positions, preferably in the Financial Services industry. BS/BA in Human Resources or Business Administration or related discipline required. Knowledge in all full lifecycle recruiting components including, but not limited to, sourcing, qualifying, networking, assessing, legal, job analysis, wage and salary trends, relationship management, and due diligence. Must be able to manage competing demands, accept constructive feedback, while being extremely adaptable and flexible. Experience using an ATS, preferably Taleo. Excellent writing and oral communication skills are required. Understand technology, technical roles and technical skills. Strong background and proven experience in sourcing/recruiting professionals at various levels. Ability to recruit for a broad, deep range of positions. Excellent Microsoft office skills; Word, Excel, PowerPoint, Outlook and Internet. Practical work experience within employee relations area. Knowledge of employment laws and practices. WORK CONDITIONS Working conditions are normal for an office environment. Ability to attend work and be productive during normal business hours and to work early, late or weekend hours as needed for successful job performance. ESSENTIAL FUNCTIONS Critical Thinking — Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. Reading Comprehension — Understanding written sentences and paragraphs in work related documents. English Language — Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar. Speaking — Talking to others to convey information effectively. Active Learning — Understanding the implications of new information for both current and future problem-solving and decision-making. Active Listening — Giving full attention to what other people is saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times. Instructing — Teaching others how to do something. Judgment and Decision Making — Considering the relative costs and benefits of potential actions to choose the most appropriate one. Time Management — Managing one's own time and the time of others. Writing — Communicating effectively in writing as appropriate for the needs of the audience. Complex Problem Solving — Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions. Deductive Reasoning — The ability to apply general rules to specific problems to produce answers that make sense. Problem Sensitivity — The ability to tell when something is wrong or is likely to go wrong. It does not involve solving the problem, only recognizing there is a problem. Written Comprehension — The ability to read and understand information and ideas presented in writing. Inductive Reasoning — The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events). Information Ordering — The ability to arrange things or actions in a certain order or pattern according to a specific rule or set of rules (e.g., patterns of numbers, letters, words, pictures, mathematical operations). Near Vision — The ability to see details at close range (within a few feet of the observer). Oral Comprehension — The ability to listen to and understand information and ideas presented through spoken words and sentences. Oral Expression — The ability to communicate information and ideas in speaking so others will understand. Speech Recognition — The ability to identify and understand the speech of another person. Speech Clarity — The ability to speak clearly so others can understand you. PHYSICAL DEMANDS Sitting up to 95% of time Walking up to 5% of time Occasional standing, stooping, kneeling, crouching and reaching LoanCare is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. Job: Human Resource Support Primary Location: PA - Pittsburgh Organization: LoanCare HR Job Posting: Feb 9, 2019, 4:14:02 PM | Speech Recognition |
| 2459 | 6253 | Customer Service Representative - ACS | Position Title: Customer Service Representative (CSR)Department: Call CenterReports to: Loan Processing Site ManagerCreated by: Human ResourcesFLSA Status: Non-Exempt (Hourly)Field: Customer Service, Loan Processing - Call Center OperationsPosition Summary: The Call Center Customer Service Representative/Loan Processor (VIP Marketing Rep) provides superior effective customer service to customers. Assures accurate information has been provided to process loans properly. The Customer Service Representative/Loan Processor (VIP Marketing Rep) requires a solid understanding of integrity and demonstrates ethical behavior. This position has access to critical, sensitive, corporate systems and company customer information.Essential Functions: Handles high volume of Inbound/Outbound customer service calls for Loan Processing.Obtains necessary information to process and complete loan filesExamines documents to ensure accuracy and compliance with existing underwriting guidelines.Fulfills customer needs to ensure customer satisfaction.Demonstrates basic knowledge of lending services and practices.Other duties as assigned.Education Requirements:Required: High School Diploma or GEDPreferred: Some collegeQualifications Required: Experience with the following computer software: Microsoft Word, Excel, PowerpointPreferred: 2 years of customer service and/or loan processing experience; experience with outlook exchange, the Internet, loan processing systems, Tran, Five-9, Veritrac, and IdeologyKnowledge and Skills:Active Listening - Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate timesIntegrity –The ability to exercise good business ethics and honestyPhone Etiquette- Demonstrates excellent phone etiquette pleasant phone demeanor at all timeProduct Quantity - Meets productivity standards; Completes work in timely manner; Strives to increase productivity; Works quicklyDemonstrate Professionalism - Approaches others in a tactful manner; Reacts well under pressure; Treats others with respect and consideration regardless of their status or positionProblem Solving: May provide a basic level of problem solvingWriting - Communicating effectively in writing as appropriate for the needs of the audienceSpeaking - Talking to others to convey information effectivelyCritical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problemsReading Comprehension - Understanding written sentences and paragraphs in work related documentsSocial Perceptiveness - Being aware of others' reactions and understanding why they react as they doAttributesOral Expression - The ability to communicate information and ideas in speaking so others will understandOral Comprehension - The ability to listen to and understand information and ideas presented through spoken words and sentencesWritten Comprehension - The ability to read and understand information and ideas presented in writingWritten Expression - The ability to communicate information and ideas in writing so others will understandSpeech Clarity - The ability to speak clearly so others can understand youSpeech Recognition - The ability to identify and understand the speech of another personPhysical Demands:While performing the duties of the job, the employee is frequently required to sit and talk or hear. The employee is occasionally required to walk; use hands to finger, handle, or feel objects, tools or controls; and reach with hands and arms. Must be able to occasionally lift up to 5 lbs. Must be able to work with a moderate noise level office atmosphere.Work Environment:The office is located at the MHA Systems office in Bismarck, North Dakota. Normal working hours are 8:00 a.m. to 4:30 p.m. Additional overtime may occur on occasion.Job Type: Full-timeExperience:Call Center: 1 year (Preferred)customer service: 1 year (Preferred)Work environment:Call centerCommunication method(s) used:EmailPhoneIn personBenefits offered:Paid time offHealth insuranceDental insuranceOthers | Speech Recognition |
| 1140 | 2975 | Machine Learning Engineer | DCS Corporation is looking for a highly motivated engineer to apply machine learning and artificial intelligence approaches to projects involving human-autonomous agent teaming. Essential job functions: Work within a small team of interdisciplinary scientists and engineers to design and implement machine learning algorithms for human-agent teaming and human performance monitoring Perform data analysis using both traditional and ML-based methods. Implement solutions using multiple software packages. Integrate solutions into experimental hardware for research purposes. Required Skills: Due to the sensitivity of customer related requirements, U.S. citizenship is required. Bachelors or Masters degree in Electrical or Computer Engineering or a related field. Knowledge of machine learning and artificial intelligence methods and applications. Software development skills including C, C#, and Python. The applicant must be highly motivated and interested in working in both basic and applied research fields. Knowledge of ground vehicle systems or human physiology is considered a plus. Mentorship opportunities with senior staff are available. | Machine Learning |
| 2194 | 5898 | Master Data Engineer | 11 West 19th Street (22008), United States of America, New York, New York At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good. Master Data Engineer As a Capital One Data Engineer, you'll be part of an Agile team dedicated to breaking the norm and pushing the limits of continuous improvement and innovation. You will participate in detailed technical design, development and implementation of applications using existing and emerging technology platforms. Working within an Agile environment, you will provide input into architectural design decisions, develop code to meet story acceptance criteria, and ensure that the applications we build are always available to our customers. You'll have the opportunity to mentor other engineers and develop your technical knowledge and skills to keep your mind and our business on the cutting edge of technology. At Capital One, we have seas of Big Data and rivers of Fast Data. Who You Are: You yearn to be part of cutting edge, high profile projects and are motivated by delivering world-class solutions on an aggressive schedule Someone who has experience productionalizing machine learning models, and has partnered with data scientists to implement ML solutions. Someone who is not intimidated by challenges; thrives even under pressure; is passionate about their craft; and hyper focused on delivering exceptional results You love to learn new technologies and mentor junior engineers to raise the bar on your team It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share The Job: Collaborating as part of a cross-functional Agile team to create and enhance software that enables state of the art, next generation Big Data Fast Data applications Building efficient storage for structured and unstructured data Collaborates with data science teams, and suggests and leads ML architecture decisions. Developing and deploying distributed computing Big Data applications using Open Sourcframeworks like Apache Spark, Spark MLlib, Tensorflow, Keras, Apex, and Kafka on AWS Cloud Utilizing programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift Utilizing Hadoop modules such as YARN MapReduce, and related Apache projects such as Hive, Hbase, Pig, and Cassandra Leveraging DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Maven, Nexus, Chef, Terraform, Ruby, Git and Docker Performing unit tests and conducting reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor’s Degree or military experience At least 4 years of experience in open source programming languages for data analysis At least 3 years of professional work experience in data technologies At least 3 years of Java, Spark, or Scala development for data engineering At least 1 year of experience working with cloud data capabilities Preferred Qualifications: Master's Degree or PhD 5+ years Java development experience 4+ years of experience in Python, Scala, or R for large scale data analysis 3+ years in Machine Learning, Spark MLlib, Tensorflow, Keras, GraphFrames/GraphX, Neo4J 4+ years' experience with Relational Database Systems and/or NoSQL databases (PostgreSQL, Redshift, Cassandra, or MongoDB) 4+ years of UNIX/Linux experience 2+ years of Agile engineering experience 2+ years of experience with the Hadoop Stack 2+ years of experience with Cloud computing (AWS) 1+ years of experience with supervised machine learning At this time, Capital One will not sponsor a new applicant for employment authorization for this position | Apache Spark |
| 1734 | 4812 | Research Intern - Natural Language Processing | Internship Microsoft bets on Artificial Intelligence as the next growth opportunity for the company. FUSE Labs is an agile cross-disciplinary lab at the forefront of Microsoft’s focus on Conversation as a Platform (CaaP), developing and delivering Language Understanding services (LUIS - http://luis.ai), Microsoft Bot Framework (http://dev.botframework.com) which enable developers to build and connect intelligent assistants and bots to users wherever they are – from Facebook Messenger, Slack, Kik, Telegram and more. We build solutions that unleash the new user experiences with embedded active AI functionality. We seek a hands-on applied scientist who is excited in tackling hard AI problems. As part of the FUSE Labs team, you will work closely with our scientists, partner teams across Microsoft to provide the next generation solutions. You’ll also have opportunities to get to know our customers and get in a tight feedback loop ensuring we’re innovating while addressing their needs. Our team culture promotes creativity and innovation and we want your unique ideas. If you’re looking to innovate in deeply technical fast-paced, agile environment working with the newest technologies, this is the opportunity for you. Responsibilities Responsibilities Include: Research, design, implement and evaluate novel models and approaches for real-world problemsAnalyze data, design and run experimentsContribute technical expertise in various stages of product design and developmentBring a new point of view to improving the AI enabled solutions Qualifications Qualifications: PhD or MSc student in Computer Science, statistics, mathematics, EE, equivalent with NLP, ML algorithms experience.At least one year of experience writing code (Python, C++, C#).Passion for natural language processing and the methods/technologies involvedWorking knowledge of ML toolkits (e.g. PyTorch, TensorFlow, Caffe, scikit-learn, Apache Spark ML)Attention to details and passion for high quality software and ML solutionsExcellent critical thinking and communication skills Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. | Apache Spark |
| 3254 | 7354 | Data Scientist | Job Description: Position Summary Data Scientist role to work on model building and feature engineering for client protection AI/ML Projects. Required Skills Data Science, Machine Learning, Data Analytics Desired Skills Neural Network/Deep learning algorithms Machine learning algorithms (supervised, unsupervised learning) Feature engineering/Data Prep Experience in Python, Tensorflow, SparkML etc. Shift: 1st shift (United States of America) Hours Per Week: 40 | Neural Networks |
| 2703 | 6583 | Laboratory Research Technician II | Contributes to research by assisting researchers. Supports academic excellence by ensuring the proper maintenance of laboratories for the use of students, faculty and researchers. Essential Job Functions: 1. Contributes to basic and applied research activities; collects, analyzes, and processes laboratory samples or research data; performs a variety of tests, using routine and/or special techniques and methods. 2. Analyzes experimental data and interprets results to write reports and summaries of findings. 3. Assists in evaluating research methods, procedures, and techniques based on established objectives. 4. Cleans, maintains, and prepares supplies and work areas. 5. Sets up, adjusts, calibrates, cleans, maintains, and troubleshoots laboratory and field equipment. 6. Orders and inventories materials to maintain supplies. 7. Provides training and assistance in the use of equipment to ensure efficient usage. 8. Provides and maintains a safe work environment by participating in safety programs, committees, or teams and by conducting laboratory or plant safety audits. 9. Completes special projects as assigned. 10. Performs other duties as assigned or required. Marginal Job Functions: Required Knowledge, Skills and Abilities: KNOWLEDGE: 1. English Language - Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar. 2. Mathematics - Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications. SKILLS: 1. Reading Comprehension - Basic understanding of written sentences and paragraphs in work-related documents. 2. Active Listening - Basic skills in giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times. 3. Critical Thinking - Basic skills in using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems. 4. Active Learning - Basic skills in understanding the implications of new information for both current and future problem-solving and decision-making. 5. Judgment and Decision Making - Basic skills in considering the relative costs and benefits of potential actions to choose the appropriate one. 6. Speaking - Basic skills in talking to others to convey information effectively. ABILITIES 1. Inductive Reasoning - The ability to combine pieces of information to form general rules or conclusions (including finding a relationship among seemingly unrelated events). 2. Information Ordering - The ability to arrange things or actions in a certain order or pattern according to a specific rule or set of rules (e.g., patterns of numbers, letters, words, pictures, mathematical operations). 3. Selective Attention - The ability to concentrate on a task over a period of time without being distracted. 4. Category Flexibility - The ability to generate or use different sets of rules for combining or grouping things in different ways. 5. Deductive Reasoning - The ability to apply general rules to specific problems to produce answers that make sense. PHYSICAL REQUIREMENTS: 1. Near Vision - Must be able to see details at close range (within a few feet of the observer). 2. Speech Clarity - Must be able to speak clearly so others can understand you. 3. Speech Recognition - Must be able to identify and understand the speech of another person. 4. May be exposed to short, intermittent, and/or prolonged periods of sitting and/or standing in performance of job duties. 5. May be required to accomplish job duties using various types of equipment/supplies, to include but not limited to pens, pencils, mobile devices, and computer keyboards. Job Description Job Requirements Required Certifications/Licensures: Required Education Associate's Degree or 60 College credits Major (if required): Biology, Chemistry or related field Required Experience: Three (3) or more years of experience in an academic or research environment. Preferred Qualifications: Is this a safety sensitive position (are applicants potentially subject to drug testing)? No Does this position require a criminal background screening? No Pre-Employment Conditions Sensitivity Disclaimer | Speech Recognition |
| 2562 | 6390 | Record Integrity Auditor | Located in Seattle, WA, Virginia Mason is an internationally recognized leader in the continuous improvement of health care. With an extensive list of awards and distinctions that includes our recognition as Top Hospital of the Decade by The Leapfrog Group, Virginia Mason offers you the opportunity to partner with exceptionally talented peers at every level. You will contribute to the strength of our Team Medicine approach to collaborative medicine and benefit from the changes enacted through our Virginia Mason Production System, a model that has transformed health care by providing patients with easier access to care, reducing errors, and continuously innovating patient safety and quality that has been adopted by other organizations here and abroad. Join us, and find out how many ways Virginia Mason offers you the chance to focus on what really matters -our patients. The purpose of this position is to ensure the integrity of the electronic health record (EHR) by monitoring, measuring and reporting on documentation created by healthcare providers either through dictation (both back-end speech and front-end speech recognition systems) and by directly entering information into the EHR. Qualifications: Minimum Education: High School Dipoma. Preferred: Associates or Bachelor's Degree in Health Information Technology or related field. 5+ Years of medical transcription/editing and/or quality review experience in an acute care or multi specialty facility. Strong knowledge of medical terminology, anatomy and physiology, disease processes, surgical and procedural terminology, laboratory terminology, and pharmacology. Strong knowledge of HIPAA regulations, Joint Commission standards and other relevant healthcare documentation standards. Excellent research skills, written and oral communication skills. Proficient computer skills, including Microsoft Word, Excel, and Outlook. Strong Interpersonal skills and ability to work well with team members. Strong organizational skills and attention to detail. Must be self-directed and able to work with little supervision while maintaining high levels of quality, production and customer service. Ability to understand diverse accents, dialects and varying dictation and grammatical styles. Preferred Experience: All of minimum requirements, plus: Prior experience with dictation/transcription systems (Editscript MT/EMon) and/or electronic health records ( Cerner PowerChart). Preferred credentials: RHIT and/or CMT and/or CHDS. Knowledge of clinical informatics. Just as Virginia Mason is dedicated to improving the lives of our patients and our community, we are equally dedicated to your professional and personal success. With a wide range of perks that includes comprehensive compensation and benefits, continuing education and support, and the opportunity to live in one of the most livable cities in the country, you will find that an opportunity with Team Medicine is one worth taking. We are an equal opportunity/affirmative action employer. | Speech Recognition |
| 1161 | 3019 | Video Coding and Machine Learning Engineer | Summary Posted: Dec 13, 2018 Weekly Hours: 40 Role Number: 200020299 Imagine what you could do here. At Apple, extraordinary ideas have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Key Qualifications You are an authority in video coding and processing You have excellent knowledge and experience in machine learning and computer vision You have strong programming, debugging and problem solving skills (C, C++, Objective-C) You have experience developing embedded image and video processing solutions. You are detail-oriented and ambitious. You have excellent oral written interpersonal skills and social skills. You have excellent judgment and integrity with the ability to make timely and sound decisions You have an ability to stay focused and prioritize a heavy workload while achieving extraordinary quality You are upbeat, adaptable, and results oriented with a positive attitude Description The Interactive Media Group is looking for a highly skilled and innovative engineer who is up to playing a key role in delivering state of the art embedded video coding and processing technologies. We're looking for a teammate with proven success in delivering products. You will be a critical part of a diverse team, and will thrive in a high energy, time constrained, multitasking environment. Education Experience MS Computer Science or MS Electrical Engineering or equivalent. | Machine Learning |
| 3659 | 7868 | Data Scientist, Analyst (Lending and Operations) | The Data Science team is looking to add a Data Scientist/Modeler to the Operations Data Science team who will use statistical and Machine Learning modeling, optimization and/or data science techniques to identify areas of opportunity and to assist with the implementation and evaluation of initiatives to improve the efficiency and efficacy of SoFi customer operations. This is an exciting opportunity to directly impact the customer experience and maximize company revenue while limiting operational costs. At SoFi, you’ll become part of a new kind of finance company whose ambition is to help our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, and to help every member get their money right. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Next we expanded our products and services across loans, wealth management, and insurance. SoFi Money—a modern take on a checking or savings account-is our newest innovation and disruption to the financial services industry. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. And that starts with you. Responsibilities: Work with operational leaders to identify opportunities to improve the efficiency and efficacy of customer operations; Assist in the implementation and evaluation, and assessment of scope of impact of such opportunities; Lead the development, implementation and continuous improvement of models and strategies; Leverage in-house, external and other open source machine learning software/algorithms; Research and apply superior data and methodology for the models; Perform ongoing monitoring of the models; Partner with Operations stakeholders to ensure that models are correctly used in decisions; Interact with Product, Risk and Engineering teams; Present model performance and insights to Operational stakeholders and business leaders. Qualifications: M.B.A. or Master’s or Ph.D. in Computer Science, Statistics, Operations Research, Engineering, Mathematics or a related quantitative field; Knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but not limited to) regression analysis, clustering, outlier detection, novelty detection, decision trees, collaborative filtering, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks and deep learning, feature selection, and factorization methods; At least 3 years of industrial experience working in the area of model development; Proven track record of end-to-end experience in model development, testing, implementation and performance tracking; Programming skills in Python and/or R; Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc; Ability to work in a dynamic, cross-functional environment, with a strong attention to detail; Effective communication skills and ability to explain complex models in simple terms; Strong relationship-building and collaborative skills; Exceptional problem-solving skills; Experience documenting models; Experience building customer operations models is preferred. Company Overview: At SoFi, you’ll become part of a new kind of finance company based around speed, transparency, and alignment with our members’ interests. Our goal is to be at the center of our members’ financial lives. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. We expanded into other types of loans, and then into insurance and wealth management with similarly inventive products and soon to be launched SoFi money a modern take on a checking or savings account. As the company has grown, we’ve been able to help more people with these tools. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. Benefits: Inspiring company mission Amazing work environment in San Francisco, CA Competitive compensation, including equity Generous paid time off Free lunch and healthy snacks Subsidized gym membership Medical, dental and vision insurance 100% of health, vision, and dental premiums paid by SoFi for employees and dependents 401K and commuter benefits Tuition reimbursement on approved programs, up to $5,250 / year Monthly contribution to help you pay off your student loans Think you’re a fit? Send us your resume along with 2-3 sentences on why you’re the perfect candidate for the job. | Neural Networks |
| 1381 | 3358 | Machine Learning Engineer | Organization: Accenture Applied Intelligence Position: Artificial Intelligence Engineer - Consultant The digital revolution is changing everything. It’s everywhere – transforming how we work and play. Accenture Digital’s 36,000 professionals are driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At the forefront of digital, you’ll create it, own it and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Join us and become an integral part of our experienced digital team with the credibility, expertise and insight clients depend on. Accenture Applied Intelligence, part of Accenture Digital, helps clients to use analytics and artificial intelligence to drive actionable insights, at scale. We apply sophisticated algorithms, data engineering and visualization to extract business insights and help clients turn those insights into actions that drive tangible outcomes—to improve their performance and disrupt their markets. Accenture Applied Intelligence is a leader in big data analytics, with deep industry and technical experience. We provide services and solutions that include Analytics Advisory, Data Science, Data Engineering and Analytics-as-a-Service. ROLE DESCRIPTION: As an AI engineer, you will facilitate the transfer of advanced AI technologies from the research labs to the domain testbeds and thus the real world. You will participate in the full research to deployment pipeline. You will help conceptualize and develop research experiments, and then implement the systems to execution these experiments. You will lead or work with a team and interact closely with deep experience machine learning engineering and research and the industry partners. You will attend reading groups and seminars, master research techniques and engineering practices, and design research tools and experimental testbeds. You will apply state-of-the-art AI algorithms, explore new solutions, and build working prototypes. You will also learn to deploy the systems and solutions at scale. RESPONSIBILITIES: Use Deep Learning and Machine Learning to create scalable solutions for business problems. Deliver Deep Learning/Machine Learning projects from beginning to end, including business understanding, data aggregation, data exploration, model building, validation and deployment. Define Architecture Reference Assets - Apply Accenture methodology, Accenture reusable assets, and previous work experience to delivery consistently high quality work. Deliver written or oral status reports regularly. Stay educated on new and emerging market offerings that may be of interest to our clients. Adapt to existing methods and procedures to create possible alternative solutions to moderately complex problems Work hands on to demonstrate and prototype integrations in customer environments. Primary upward interaction is with direct supervisor. May interact with peers and/or management levels at a client and/or within Accenture. Solution and Proposal Alignment - Through a formal sales process, work with the Sales team to identify and qualify opportunities. Conduct full technical discovery, identifying pain points, business and technical requirements, “as is” and “to be” scenarios. Understand the strategic direction set by senior management as it relates to team goals. Use considerable judgment to define solution and seeks guidance on complex problems. Qualifications Bachelors degree in AI, Computer Science, Engineering, Statistics, Physics. Minimum of 1 year of experience in production deployed solutions using artificial intelligence or machine learning techniques. Minimum of 1 years previous consulting or client service delivery experience Minimum of 2 years of experience with system integration architectures, private and public cloud architectures, pros/cons, transformation experience Minimum of 1 year of full lifecycle deployment experience Preferred Skills Masters or PhD in Analytics, Statistic or other quantitative disciplines Deep learning architectures: convolutional, recurrent, autoencoders, GAN’s, ResNets Experience in Cognitive tools like Microsoft Bot Framework Cognitive Services, IBM Watson, Amazon AI services Deep understanding of Data structures and Algorithms Deep experience in Python, C# (.NET), Scala Deep knowledge with MxNet, CNTK, R, H20, TensorFlow, PyTorch Highly desirable to have experience in: cuDNN, NumPY, SciPy Professional Skill Requirements Recent success in contributing to a team-oriented environment Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Demonstrated leadership in professional setting; either military or civilian Demonstrated teamwork and collaboration in a professional setting; either military or civilian Ability to travel extensively OUR COMMITMENT TO YOU Your entrepreneurial spirit and vision will be rewarded, and your success will fuel opportunities for career advancement. You will make a difference for some pretty impressive clients. Accenture serves 94 of the Fortune Global 100 and more than 80 percent of the Fortune Global 500. You will be an integral part of a market-leading analytics organization, including the largest and most diversified group of digital, technology, business process and outsourcing professionals in the world. You can leverage our global team to support analytics innovation workshops, rapid capability development, enablement and managed services. You will have access to Accenture’s deep industry and functional expertise. We operate across more than 40 industries and have hundreds of offerings addressing key business and technology issues. Through our global network, we bring unparalleled experience and comprehensive capabilities across industries and business functions, and extensive research on the world’s most successful companies. You will also be able to tap into the continuous innovation of our Accenture Technology Labs and Innovation Centers, as well as top universities such as MIT through our academic alliance program. You will have access to distinctive analytics assets that we use to accelerate delivering value to our clients including more than 550 analytics assets underpinned by a strong information management and BI technology foundation. Accenture has earned more than 475 patents and patents pending globally for software assets, data- and analytic-related methodologies and content. As the world’s largest independent technology services provider, we are agnostic about technology but have very clear viewpoints about what is most appropriate for a client’s particular challenge. You will have access to our alliances with market-leading technology providers and collaborative relationships with emerging players in the analytics and big data space—the widest ecosystem in the industry. These alliances bring together Accenture’s extensive analytics capabilities and alliance providers’ technology, experience and innovation to power analytics-based solutions. You will have access to the best talent. Accenture has a team of more than 36,000 digital professionals including technical architects, big data engineers, data scientists and business analysts, as well as user digital strategists and experience designers. Along with a competitive salary, Accenture offers a comprehensive package that includes generous paid time off, 401K match and an employee healthcare plan. Learn more about our extensive rewards and benefits here: Benefits. Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status). Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities. Equal Employment Opportunity All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. | Machine Learning |
| 1653 | 4520 | Software Engineering Intern (Summer 2019) | Temporary, Internship Rocket Software is a leading global developer of software products that help corporations, government agencies and other organizations reach their technology and business goals. 1,300 rocketeers on five continents are focused on building and delivering solutions for more than 10,000 customers and partners. This posting is for internships in Waltham, MA. Our Intern Program is open to candidates who are currently attending College/University and are working towards completion of a degree. Rocket Software has internship (“Rocketship”) opportunities in Summer 2019S for college students’ currently studying computer science, mathematics, engineering or a related technical discipline. Candidates should have strong analytical backgrounds, be hardworking, energetic, articulate, open to new challenges, and willing to learn. The internship experience will provide an insider view of how a fast moving, innovative, and entrepreneurial company operates through an exciting and challenging work experience. Our interns will operate as a team to design and build, from the ground up, brand new and innovative applications related to text analytics, statistical analysis, and model based reasoning. The “Rocketship” is also designed to give you multiple opportunities to interact with members of Rocket Software’s Executive Team, an invaluable chance to showcase your skills and start building a network of professionals for future internships or post-graduate work. Our program includes participation in a professional development program together with other interns with a goal to develop and deliver an executive level presentation to senior members of Rocket Software’s Executive Team at the end of the summer. This is a paid internship position. Required Skills Experiences Responsibilities may include: Learn and understand hardware and software systems and operating platforms Learn basic programming while working in a team Follow direction of manager or team lead to implement software enhancements and/or correct defects Use current programming languages and technologies, write code, complete programming, and perform testing and debugging of applications Learn how to document and communicate on technical topics Required Skills: Demonstrated ability to handle complex and challenging technical projects Solid programming skills in C/C++ and/or Java preferred Rocket Software Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Rocket Software Inc. is also committed to compliance with all fair employment practices regarding citizenship and immigration status. Rocket is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please call: 781-577-4321 or send an email to hr@rocketsoftware.com. We will make a determination on your request for reasonable accommodation on a case-by-case basis. Required Experience | Text Analytics |
| 2639 | 6500 | ML Scientist | PhD in machine learning (or in a highly related area) or equivalent experience Solid background in statistical learning techniques for NLP (Deep Learning, HMMs, CRFs, SVMs, LDA, LSI, MRFs etc) Fluency with at least one of the modern distributed ML frameworks such as TensorFlow, PyTorch, MxNet. Must have ML/NLP algorithm implementation experience as well as the ability to modify standard algorithms (e.g. change objectives, work-out the math and implement) Experience and/or motivation to work on modern deep learning approaches to NLP: word/paragraph embedding, representation learning, text/sentiment classification, ambiguity disambiguation Strong programming skills in at least one object oriented programming language (Java, Scala, C++, Python, etc.) Eager to learn new algorithms, new application areas and new tools. Excellent communication skills Our vision at Amazon Comprehend Medical is to simplify and advance Natural Language Processing (NLP) in Healthcare. We are building a team of passionate people who are focused on changing the world for the better. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Automatic Speech Recognition (ASR), Machine Translation (MT), Natural Language Understanding (NLU), Machine Learning (ML). If you want your work to positively impact the lives of millions of people and you’re up for a challenge, let’s talk! We are looking for a passionate, talented, and inventive Senior Applied Scientists who can bring bleeding edge machine learning and NLP techniques into real products solving real problems together with a highly multi-disciplinary team of scientist, engineers, strategic partners, product managers and subject domain experts. | Speech Recognition |
| 516 | 911 | VP, Data Analytics and Insights - Data Scientist Experience, Strategy | Fidelity Workplace Investing (WI) is seeking an energeticleader who is passionate about bringing AI solutions to our associates andclients. As a Squad Leader, you willpartner with business stakeholders to identify/prioritize top AI opportunities,create business/technical requirements, transform large volumes of data intoAI-driven solutions using creative, cutting edge open sourcemethods/technologies, lead ML strategy and road map planning, work across theorganization and influence the direction of external teams. In this high visibility role, youwill develop a strategic perspective and plan for how AI-driven innovation cantransform a business discipline (e.g., operations, product, etc.). The Expertise We’reLooking For Prior/current experience as a Data Scientist, leadership experience preferred Proven track record of creating production models for commercial purpose. Experience building and delivering complex systems that leverage various machine learning algorithms or technologies that integrate well with other organization-wide systems and are able to scale effectively. Deep understanding of several of the following quantitative fields: Machine Learning, Advanced Statistical Analysis Modeling, Deep Learning, Causal Inference Program Evaluation, Reinforcement Learning, Behavioral Economics, Design of Experiment, Text Mining Natural Language Processing, Mathematical Programming, Multi-Objective Optimization, Decision Theory, Bayesian Statistics, and Network Science. Experience with exploratory data analysis, data visualization, and statistical graphics. Strong ability to influence without authority is essential Minimum Master’s Degree in Computer Science, Mathematics, Engineering, Computational Statistics, Operations Research, Machine Learning or related technical fields. The Skills YouBring You know and love building machinelearning algorithms and AI solutions and can partner with stakeholders across awide range of teams (business, marketing, finance, technology, etc.). You areanalytical, innovative, creative, disruptive, and you don’t give up. In thisrole you will have an opportunity to launch new AI solutions in web, mobilechannels, and emerging platforms/tools (Alexa, Siri, etc.) supporting thepriorities of Fidelity’s Workplace Investing business unit. You will have the opportunity todisplay your skills in the following areas: Interface with business stakeholders, engineers and software developers, gather requirements and deliver complete AI/ML solutions. Set and deliver a multi-year strategy for transforming business operations, product capabilities and customer experiences through the use of AI. Own the design, development, and launch of AI algorithms/solutions that improve customer experience and deliver business results. Lead and manage local and remote teams (scientists and technologists with diverse skillsets). Closely follow research and open source developments/publications and apply them within Fidelity’s context. How Your Work Impacts theOrganization The Data Analyticsdiscipline delivers an industry leading analytics platform that providesdata-driven insights which enables Fidelity’s Workplace Investing andHealthcare businesses to achieve their objectives. The Artificial Intelligence squad isresponsible for developing, deploying and managing an integrated system ofsophisticated mathematical models, data, and infrastructure to support analyticsolutions that improve the customer experience, enable intelligent productsolutions, and streamline operating routines. Company Overview At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com | Text Mining |
| 2149 | 5844 | Data Engineer, CyberML | 7900 Westpark Drive (12131), United States of America, Tysons, Virginia At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good. Data Engineer, CyberML Investing in the right information security capabilities is essential to what we do for Capital One in protecting our customers and our employees. As part of that mission, the CyberML team collects and analyzes vast quantities of data to help detect malware, prevent fraud, and protect customers. As a Data Engineer on the CyberML team, you will be part of an agile team dedicated to pushing the limits of innovation and scalability. You will build fast data pipelines and big data warehouses that run at petabyte-scale which enable Capital One to nimbly respond to emerging cyber threats. Basic Qualifications Bachelor’s degree or Military experience At least 2 years of professional programming experience in Java, Scala, Python, C++, or Golang At least 2 years of professional experience working on data streaming (Apache Spark, Flink, Storm, Kafka) or data warehousing (Snowflake Analytics, Presto, AWS Athena, AWS Redshift) applications At least 1 year of experience with Linux-based OSes (Red Hat) At least 1 year of experience writing scripts (Shell, Python, Perl) Preferred Qualifications M.S. in Computer Science, or Electrical Engineering, or Information Systems, or Software Engineering Experience working with machine learning libraries such as sklearn, Tensorflow, Pytorch, or H20 Experience working with Elasticsearch and Lucene-based search Experience working with Snowflake data warehouse Experience working with container runtimes (Docker, rkt, cri-o) Experience working with container frameworks (Kubernetes, Mesosphere) Experience with building Machine Learning (ML) applications or implementing ML algorithms AWS Solution Architect Associate or Professional Who You Are You are interested in working on challenging problems involving scalability and performance. You can effectively collaborate with other teams to work on high-profile initiatives. You enjoy learning new technologies and picking up new skills. The Role Collaborating as part of a cross-functional Agile team to create and enhance software that enables state of the art, next generation Big Data Fast Data applications. Building efficient and scalable storage for structured and unstructured data. Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink, Nifi, Storm and Kafka on AWS Cloud Building and running large-scale NoSQL databases like Elasticsearch and Cassandra. Utilizing programming languages like Java, Scala, Python. Designing and building applications for the cloud (AWS, Azure, GCP, DO) Leveraging DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Maven, Nexus, Chef, Terraform, Ruby, Git and Docker. Performing unit tests and conducting reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance At this time, Capital One will not sponsor a new applicant for employment authorization for this position. | Apache Spark |
| 2607 | 6451 | Co-Op, Technical Support - Networking | Temporary, Internship Location: San Jose, CA, United States Type of Employee: Temporary - Co-Op Vocera has one mission: to simplify and improve the lives of healthcare professionals, patients, and families. Founded in 2000, we changed the way care teams communicate. Today, we continue to offer the leading platform for clinical communication and workflow. About 1,400 hospitals and health systems around the world use Vocera solutions. Our platform provides software for voice, secure text messaging, and patient engagement. It integrates with more than 120 clinical and operational systems: EHRs, nurse call, physiologic monitors, and more, with event-driven alarm management. Our wide choice of devices includes smartphones and hands-free wearables. Vocera is headquartered in San Jose, Calif., with offices in Tennessee, Indiana Canada, India, United Arab Emirates, and the United Kingdom. Learn more at www.vocera.com, and follow @VoceraComm on Twitter Position Description: As a Technical Support Co-Op student you work on a variety of exciting projects. Your role provides network testing and System Health Reports for the rest of the Technical Support team. This is a great opportunity to develop new skills in a variety of domains including: Wired and wireless networking, speech recognition, Windows Server applications, IP telephony, VMWare environments, Wireless controllers in the Cloud; troubleshooting client’s applications in iPhones, Androids and Vocera phones, and more. If you like working with people, are inquisitive, hard-working, customer focused, interested in exploring a variety of technologies, and have a strong desire to build your technical expertise, we want to hear from you. As this position is based in the Vocera HQ office in San Jose, CA, you are strongly encouraged to consider finding housing in the bay area during your co-op period. You will be working during normal business hours between 8 - 5pm PST. Responsibilities Reproduce customer reported problems in our onsite lab Assist with troubleshooting and data analysis, engaging others to solve difficult issues Network testing including packet captures and Wi-Fi analysis Software acceptance testing for Technical Support Technical documentation including training for future co-op students System Health Reports for Technical Support Engineers Author knowledgebase articles for internal and external use Review product documentation prior to new releases Competencies Requirements Working towards a Bachelor's degree in Computer Science or Computer Engineering Excellent written and verbal communication skills are essential Technology curious and analytical in nature; adept at problem-solving Adaptable to fast-paced environment with dynamic, lean priorities MS Windows system administration knowledge preferred Working experience with industry standard networking technologies is highly desirable Knowledge of wireless infrastructure systems (802.11 a/b/g/n/ac, 802.1x) Attended any Cisco Network Academy classes (Routing, Switching, Wireless) is a plus Analytical, troubleshooting, and problem-solving skills are necessary Belief in Diversity Vocera Communications is an Affirmative Action Employer committed to workforce diversity. Qualified applicants will receive consideration without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information. | Speech Recognition |
| 2978 | 6959 | Senior Deep Learning Systems Engineer | Job Description Magic Leap is looking for a passionate, talented, and inventive Senior Deep Learning Engineer with a strong machine learning background to help build industry-leading AI platforms. Our mission is enable the interaction and communication via Magic Leap's device and AI technologies, including speech, machine translation, NLP, TTS, and computer vision. We are seeking a Senior Software Engineer to join our Deep Learning team who will ideally have at least 5+ years of experience within the field and be able to hit the ground running. As part of our AI team, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology and visual perception. So if you are passionate about data-driven machine learning and hate feature engineering, then you must apply! Responsibilities: Able to work with cross-functional teams while managing and fostering junior engineers. Develop optimization methods, deep architectures, and learning tools to ease the use of feed forward and recurrent models. Qualifications: Expertise with programming languages such as C/C++, Python Experience in Industry (preferred) Strong Deep Learning expertise Experience in building AI systems, including speech recognition, machine translation, natural language processing systems, and computer vision platforms. Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. Good written and spoken communication skills. Education: Ph.D. in Computer Science, Applied Math or similar related fields (preferred) M.S. in Computer Science, Applied Math or similar related fields Additional Information All your information will be kept confidential according to Equal Employment Opportunities guidelines. | Speech Recognition |
| 1757 | 4923 | Solutions Architect (Mid-Market) | Mission Solutions Architects at Databricks are in charge of leading the adoption of Apache Spark and Databricks. They engage with the developer community to train them and evangelize Spark, meet with customers to suggest solutions that they can build with the technology, and see customers through implementing and troubleshooting production systems. Every Solutions Architect is expected to become an Apache Spark expert and to be excellent at interacting with Spark and Databricks users. At Databricks we work on some of the most complex distributed processing systems and our customers challenge us with interesting new big-data processing requirements. As the complexity grows for both us and our customers, we are looking to our Solutions Architects to fully understand the architecture that powers our product and how it can be implemented. Our Solutions Architects not only work with technologies such as Apache Spark, Hadoop and Kafka but they also recommend product features and contribute to open source community. This is a pre-sales and post-sales position where you will work with customers to identify use cases for Databricks, and see them through using the product. Our customers are highly technical, so you must be too. Outcomes Provide technical leadership in a pre-sales and post-sales capacity for customers to support successful understanding, evaluation and adoption of Databricks Consult on architecture and design, bootstrap, and/or implement strategic customer projects Build references architectures, how-tos, and demo applications for customers Provide escalated level of support for critical customer operational issues Architect, implement, and/or validate integrations with 3rd party applications Evangelize Spark and Databricks across developer community through meetups and conferences Traveling to Customers Become an Apache Spark expert Competencies Outstanding verbal and written communication skills Excellent presentation and whiteboarding skills Comfortable with traveling to multiple customer locations 3-5 years in customer-facing pre-sales, technical architecture or consulting role Ability to design and architect distributed data systems Comfortable writing code in either Python, Scala or Java Experience with Big Data Technologies such as Spark, Hadoop, Kafka, and Storm [Desired] Experience working with open source and/or AWS/cloud Benefits Medical, dental, vision 401k Retirement Plan Unlimited Paid Time Off Catered lunch (everyday), snacks, and drinks Gym reimbursement Employee referral bonus program Awesome coworkers Maternity and paternity plans About Databricks Databricks' mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Viacom, Shell, and HP. For more information, visit www.databricks.com ( https://databricks.com ). Apache, Apache Spark and Spark are trademarks of the Apache Software Foundation. | Apache Spark |
| 2032 | 5698 | Technical Product Manager | Who we are Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 254 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom, enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies. When applying for a job you are required to create an account, if you have already created account - click Sign In. Creating an account will allow you to follow the progress of your applications. Note: Provide full legal first Name/Family Name DO: Capitalize first letter of First and Last Name. Example: John Smith DON'T: Capitalize entire First and/or Last Name. Example: JOHN SMITH NOTE: Use correct grammar for Names with multiple cases. Example: McDonald or O'Connell Provide full address details Resume is required Multiple attachments can be uploaded including Resume and Cover Letter for each application Job Description Summary: The Instrumentation Solution team seeks a top-performing, highly-motivated analytics expert to join our growing team. You will have the opportunity to work with multiple business/engineering groups, use your knowledge and experience to elevate the quality of tracking instrumentation across the company, help data engineers build scalable platforms that produce business metrics and enable monitoring on those metrics. You’ll be asked to wear several different hats, but one that you will wear consistently is that of a leader. Strong behavioral analytics knowledge, experience working on highly complex software projects in AGILE mode and a desire to drive positive change are key to success in this role. The role will be responsible for supporting global stakeholder departments, working domain leads and data citizens across different GEO’s such as Americas, EMEA, and Asia Pacific. Because the position requires interaction with geographically-disbursed teams so the candidate must be a self-starter with strong leadership qualities, project/task management skills, analytical skills and comfortable working with distributed teams. Job Description: Partner closely with other Product Managers to understand new product offerings being built, and work with analysts to recommend the right metrics to measure performance of those features Provide strategic and tactical guidance on specific data elements that need to be tracked in order to enable tracking of metrics and assess user behavior Collaborate closely with engineering teams, provide ongoing support to help instrument tracking elements Collaborate with data platform teams to build/enhance necessary data platforms to provide metrics business insights and in building alerts to monitor those metrics Develop a strong understanding of the PayPal tracking infrastructure; Identify and act upon opportunities for simplicity, consistency and re-usability of tracking code Train and provide expert consultation to product management, engineering, analytics and other teams on tracking standards, tools and processes Document best practices for data tracking, and maintain documentation for self-service use Basic Qualifications: Bachelor’s degree in computer science or engineering discipline with a strong quantitative aptitude At least 3 years of work experience. At least 1-2 years of experience working on e-commerce, payments or mobile or products in a technical role either as an engineer or a technical product manager Strong SQL skills required Experience working with Hadoop, Apache Spark and big data technology preferred but not required Solid understanding of behavioral analytics concepts with respect to UX design, data tracking, AB testing and metrics Understanding of service-oriented architecture, data flows in multi-tier systems, event tracking and relational data structures Familiarity with design/development of ios and android apps and mobile SDKs is highly desired Excellent communication skills, both written and verbal, and skilled at adjusting communication style/vocabulary to your audience’s role/function and technical familiarity Self-starter, driven, strong relationship builder, passionate about learning and making a difference Subsidiary: PayPal Travel Percent: 0 Primary Location: San Jose, California, United States of America Additional Locations: Bachelors Degree or Equivalent: Engineering We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom. Paypal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. | Apache Spark |
| 1275 | 3201 | Technical Product Manager | $100,000 a year $ 100k/Year ($ 50/Hour for 40 hours of productive work per week) Remote Position Long-term Want to focus your attention on the technical decisions that really matter? How about working across multiple products, technologies and domains? Or leveraging and growing your existing technical architecture skills? Interested in adding real, measurable value to a product every week? At Crossover, our Technical Product Managers get to make important technical decisions that impact the core of a product, setting boundaries for our engineering teams. Once that's done, you get to move to another product and do the same again - on up to 20 different product a year. “Looking back to my last 2 years: I accomplished way more than I did in the 10 years in all my previous companies all together, I am more fulfilled than ever.” Ionel C, Technical Program Manager Quick Application Form Thanks for your interest in this position! After you complete this simple application form, look for an email from us with instructions on how to access the testing for this role. We look forward to speaking with you! Your Info Full Name * Full Name First Name Last Name Email Address * LinkedIn Profile Link * http:// Phone Number eg. +40 123 456 789 Country * Afghanistan Aland Islands Albania Algeria American Samoa Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil British Indian Ocean Territory Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Caribbean Nations Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos (Keeling) Islands Colombia Comoros Congo Cook Islands Costa Rica Cote D'Ivoire (Ivory Coast) Croatia Cyprus Czech Republic Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands (Malvinas) Faroe Islands Federated States of Micronesia Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Gambia Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iraq Ireland Isle of Man Israel Italy Jamaica Japan Jersey Jordan Kazakhstan Kenya Kiribati Kosovo Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macao Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Moldova Monaco Mongolia Montenegro Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands Netherlands Antilles New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island Northern Mariana Islands Norway Other Pakistan Palau Palestinian Territory Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Poland Portugal Puerto Rico Qatar Reunion Romania Russian Federation Rwanda Saint Helena Saint Kitts and Nevis Saint Lucia Saint Pierre and Miquelon Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovak Republic Slovenia Solomon Islands Somalia South Africa South Korea South Sudan Spain Sri Lanka Sudan Sultanate of Oman Suriname Svalbard and Jan Mayen Swaziland Sweden Switzerland Taiwan Tajikistan Tanzania Thailand Timor-Leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States Uruguay Uzbekistan Vanuatu Vatican City State (Holy See) Venezuela Vietnam Virgin Islands (British) Virgin Islands (U.S.) Wallis and Futuna Western Sahara Yemen Zambia Zimbabwe Basic Fit Questions Please take a moment to answer the following questions regarding your background and experience. It should only take a few moments, but they have been written specifically by our Hiring Managers and will really help them guide you to the best job roles at Crossover What is the highest level of education you have attained in any of the following fields; Computer Science, Computer Engineering, Electrical Engineering, Mathematics or Physics? * Doctorate Masters Bachelors Other None At any time in your career, have you had the full-time responsibility of writing code that shipped to production in either Java or C#? If Yes, for approximately how many years? * Over 10 years 5 - 10 years 3 - 5 years 1-3 years Less than 1 year No Have you held the responsibility of approving other people's technical design decisions for a commercial software product or software-as-a-service? If Yes, for how many years? * 1 - 3 years 3 - 5 years 5 - 10 years Less than 1 year No Over 10 years Below are 9 common design patterns that have popular third-party or open source implementations. We want to know if you have you been the primary decision maker regarding how to use these patterns correctly, and If so, for approximately how many. The 9 patterns to consider are - Data Storage, Caching, Index Search, Messaging, Containerization, Data Analytics, Workflow, Machine Learning and API Gateway. * All of them 6 - 8 patterns 4 - 5 patterns 2 - 3 patterns 1 pattern Never AWS, Azure, and Google now offer hundreds of separate cloud services. We want to know if you have been the primary decision maker regarding how to use any of these individual cloud services correctly, and if so, for approximately how many. As with the previous question, this does not mean you "have used", or "implemented", or "selected"; it means you made the important decisions for how one of these services should be used correctly as a part of what you were building. You may consider any of the individual cloud services offered by AWS, Azure, or Google Cloud. * Over 20 times 10 - 20 times 5 - 10 times 2 - 5 times 1 time Never Have you been responsible for creating design artifacts (listed below) that developers use to build software according to your requirements? If Yes, for how many years?Examples of such artifacts include physical/logical architecture diagrams, data structure definitions, component decomposition, data flows, ERDs, state diagrams, and sequence diagrams. * Over 10 years 5 - 10 years 3 - 5 years 1-3 years Less than 1 year No Have you presented technical solutions or concepts to non-technical audiences? Examples include pre-sales presentations, product/function pitches to internal senior executives, developer conferences and meet-ups? * I have regularly presented all of the above examples I have delivered 3 or more of the above examples on multiple occasions I have limited experience in one or two of the examples above On occasion, I would have presented to internal executives No What´s your English level? * Mother tongue - Native Advanced Intermediate Basic No English Live Hiring EventCrossover hosts live, online events where candidates can join to hear Hiring Managers talk about the role, answer questions, and offer live support while candidates complete our online testing and evaluation process. Events are usually held on weekends in order to accommodate busy professional schedules. If you'd like an invite to one of our upcoming hiring events, indicate that below. * Yes, send me an invite to hear more at your next event No thanks, just email me the next steps please WHY CROSSOVER? Crossover recruits and builds world class high performing teams to power the fastest growing portfolio of software products in the world. No other company provides the training and the opportunities to test yourself on the depth and diversity of projects that we do. All roles are location independent so you are guaranteed to work with the best in the world. Challenge yourself. Be part of the change. TESTIMONIALS Catalin A VP of Technical Product Management Teams of the best from Microsoft, Oracle, IBM, Philips and more Mehmet S Director of Product Operations 3x increase in comp while leading global product management Stefan C Product Chief Architect Best-in-class teams, using cutting-edge technologies WHAT YOU'LL BE DOING As a TPM, you will work across dozens of products to understand the problems they solve and make important technical decisions that will determine their long term viabilityWe believe that our approach towards Technical Product Management is truly unique. We objectively define each product in terms of the market it serves and the technology it leverages.We uncover market-gaps or user pain-points by identifying CIV (Challenging, Important or Valuable) problems specific to that domain. We employ a standardized process to elicit relevant information from SMEs and succinctly describe each CIV Problem.We then define Core Functionality (CFs) which the product will implement in order to address each CIV Problem. Through a combination of CIV Problems and CFs, we are in a position to analyze the product-market fit in an objective, standardized fashion. A CIV problem without any CFs is a remaining gap, while a CF which doesn’t address a CIV problem represents unnecessary complexity within the solution.Once we have articulated the product-market fit, we turn our attention (and most of our time) towards identifying the Important Technical Decisions (ITDs) that will provide the core functionality in the most effective way.As a TPM, you will: Define CIV problems and Core Functions and make ITDs as part of a weekly iteration of a product specification.Set the scope of these specifications by focusing on the core of the product and the real world problem that it solves.Identify technology trends and understand when to apply them - leveraging leading open source and SaaS solutions to reduce the size and complexity of the product codebaseOn a daily basis you will leverage your existing technical expertise and communication skills to: Know what’s important. Understand where to focus your attention. Look for factors that impact the core of the product.Communicate clearly and effectively. Not only should you be able to make your point concisely and unambiguously, but you also need to distill the important information from what others say and write.Be able to simplify. Focus on the core the product, where your input can have the greatest impact. ONLINE HIRING EVENT A hiring event is a scheduled online event where all our relevant testing relating to a role is conducted on the same day. Submissions received during the event are graded the following week, and successful candidates notified if they have progressed to the next round which is an online interview with a Hiring Manager. KEY RESPONSIBILITIES Each week, you will: Craft a technical design specification that ensures optimal product-market fit and defines Important Technical Decisions which are focused on the core of the product Identify relevant design and integration patterns to standardize product requirements and functionality Define data structures, object models and algorithms to solve high-value problems Make decisions that reduce scope in favor of simplicity Throughout your time with us, you will: Continually learn and leverage new technologies, patterns and practices Solve complex, ever-changing problems across a large and growing product portfolio CANDIDATE REQUIREMENTS Being successful as a TPM requires deep technical skills across a variety of technologies and domains in addition to exemplary communication skills Specifically, candidates must have: A Bachelor's Degree in Computer Science, Computer Engineering, or a related discipline, (M.Sc. or Ph.D. preferred) 1+ years experience in a senior architecture role at a leading software company, or as CTO/technical co-founder at a smaller company or successful startup Developed and continue to maintain extensive, hands-on expertise in Java and/or C# Leveraged both traditional RDBMS as well as contemporary alternatives such as Graph, Columnar, Key-Value and/or Document databases Thorough practical understanding of common Design and Enterprise Integration Patterns 5+ years of hands-on production code development and architecture experience on a scalable, commercial product 1+ years experience in a senior architecture role at a leading software company, or as CTO/tech co-founder at a smaller company or successful startup 1+ years with responsibility for approving other people's technical design decisions for a commercial software product or software-as-a-service 1+ years with responsibility for deciding how best to integrate with and leverage individual cloud services 1+ years with responsibility for creating and approving design artifacts Experience in taking product requirements and are creating work breakdowns for engineering teams to develop A total of 8 years experience in designing and developing software solutions Excellent communication skills in written and spoken English, and the ability to identify and articulate patterns in unstructured and unorganized content Other, highly desirable skills include: Expertise in other current, mainstream languages (examples include Python, Go, Kotlin, Scala) and frameworks (examples NodeJS, Spring) Architecting web-scale SaaS solutions Ongoing contributions to leading Open Source project WHAT YOU WILL LEARN We believe in continuous growth and strive for constant improvement. As part of our TPM family, you will be exposed to a multitude of new technologies, products and industries on a daily basis, and our comprehensive suite of playbooks will equip you with the foundation to develop and enhance your existing expertise. We also provide a unique CTO bootcamp for all new TPMs. This full-time, fully-paid training program covers all of the unique aspects within our approach to TPM, including: SME engagement and how to elicit the important information How to uncover CIV (Challenging, Important or Valuable) Problems in a particular domain/industryHow to define Core Functions to address CIV problems and ensure optimal product-market fitHow to make the Important Technical Decisions to ensure that: Core architecture decisions are not left to chanceCore functionality will be delivered effectivelyArchitecture and development teams are not micro-managed by imposing unnecessary constraints (low-level, unimportant decisions)Throughout your training, you will get daily feedback to accelerate learning and growth far beyond typical classrooms or training programs.Our curriculum includes a number of bite-sized training videos where we explain how we design great software. Here’s an example where we show you how to make and validate Important Technical Decisions. Work Examples How do you know when and how to apply a particular technology? How can you be sure your shiny new tech isn’t going to stifle your architecture in the long-run? Here are some playbooks produced by our team members on how to safely and effectively apply two of the latest “big things” in technology: Assets Page 1 gDocs Blockchain Decentralized AppsPlaybook for Using a Blockchain dApp Platform Such as Ethereum gDocs Serverless ArchitecturePlaybook for Using a Serverless Architecture Such as AWS Lambda If you’d like to create similar playbooks for your own use, please feel free to use our template. Questionsand Answers What does a good technical product manager look like? TPMs should be super-technical and great at connecting the CORE of the software's design decisions to the way that those decisions allow the product do the "important thing" in the best way possible. They focus on data structures algorithms, not slick UI/UX. They write their logic/rationale down so that it can be vetted by healthy debate - or at least understood! They engage directly on the important topics. They spec important product simplifications ("non-features") as often as they spec the “must-have features”. How would you describe a day of work as a TPM at Crossover? If I had to describe it succinctly, I would say that the main thing a TPM does each day is to focus on a "thing" that needs a solution. It may be a data structure or an algorithm for a brand new product. It may be how to change an existing codebase to adopt some new technology component that will make the product much better, or retire a bunch of low-value code, or a variety of other problems we are trying to solve. TPMs write down their thinking/logic in the most succinct and clear way possible. They work with other people (global/remote) to ask questions in order to get peer-feedback, and feedback from their manager. How many products does each role manage? What’s the typical size of each product team? We don't limit the number of products that TPMs work on in that way. They generally work on one product at a time, and once finished solving that problem/design, they move onto another product. They may come back to a product too. We want TPMs to have continuous learning. By doing this, our TPMs learn many new technologies, design patterns and architectures, industries, and business models. We have designed our organization and processes so that this works. We like people on the team to contribute work and ideas in a fluid manner, in the same way, that great, high-caliber engineering teams all work on many different parts of the same codebase. As long as they are all of sufficient skill, collaborative, and have the right review/approval process, so the code isn't a complete mess. It may be slower in the short-term (because of ramp up) but its better in the long-term. Our engineering teams generally follow the "2 Pizza Rule" regarding size. How are the teams formed within the actual projects and as VP of TPM would I have any influence over the selection of the project I'd be working on? Our view is that TPMs (and the TPM Org) should not focus on managing or influencing the engineering delivery team. We leave that to engineering management. Our TPMs focus on making the important technical decisions that in aggregate define “how the software should work to deliver customer value” and not on “how the engineering team should work to deliver the software.” An analogy would be the way an Architect's job is to clearly define the important decisions regarding the construction of a building but is not part of the building team that the construction company uses to build the building. How do you know what insights are important? The important decisions are always there, and they always get made one way or another. The question is whether they are made deliberately and with the gravity they require, or whether you find out how they were made after it is too late. Our process works to identify these decisions early - we invest the necessary time and skill, drive alignment and feedback from all parties, and learn and improve over time. To do this, TPMs must be very technical and able to explain the reasoning for their engineering decisions. TPMs need to see the "big picture" and focus on the important capabilities, not the many minor features. TPMs must be fast learners and great writers and know the difference between controlling what is truly "important" versus micro-managing engineering (which we do not want to do). This is the core of our 30-day CTO Bootcamp process - we, focus on our quality bar, and the goal of our processes. How do you measure success? This is a long answer, but the basic idea is that we define actual deliverables for TPMs. These weekly deliverables are quite structured, and we check the quality of the content within those specs. For example, we evaluate how "Important" the content is, how correct the "Technical" content is, and how clear and justified the rationale for the "Decision" is. We call those ITDs, and TPMs get feedback on the quality of their work. So, by measuring the Quality and the Quantity of work, we measure success. In the longer term, we also measure how well those decisions played out in the real world. How does the TPM organization fit within the rest of the organization? Our approach to Product Management is heavily technical, and that is because of our belief that the most important thing is mapping the customer problems to a 10x better engineering solution to that problem. We try to simplify and make the core of the product 10x better instead of chasing every little feature that competitors do or developing piles of minor features from the backlog. That said, we also send the core messages to marketing and sales so that they can do their job. Those core messages start with the TPM team. ABOUT THE ROLE FAQs | Machine Learning |
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| title | job_description | job_class | |
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| 0 | Research Scientist - Natural Language Processing | <Conduent is the world's largest provider of diversified business process services with leading capabilities in transaction processing, automation, analytics and constituent experience. We work with both government and commercial customers in assisting them to deliver quality services to the people they serve. We manage interactions with patients and the insured for a significant portion of the U.S. healthcare industry. We are the customer interface for large segments of the technology industry and the operational and processing partner of choice for public transportation systems around the world. Whether it's digital payments, claims processing, benefit administration, automated tolling, customer care or distributed learning - Conduent manages and modernizes these interactions to create value for both our clients and their constituents. Learn more at www.conduent.com . Research Scientist - Natural Language Processing for the world's largest provider of diversified BPO services Wouldn’t it be great to use your Natural Language Processing (NLP) experience to improve the lives of citizens, patients, and employees around the world? At Conduent, we’re building algorithms and tools that do exactly that. If you’re interested in an exciting, innovative position that allows you to leverage these skills, then you’re just the kind of person we’re looking for. Conduent is enhancing its platforms in transportation, healthcare, financial services and customer care with predictive and prescriptive analytics. Because of the broad range of fields we provide services for, you can be assured of not being pigeonholed into a narrow domain and continue to be challenged by applying the latest advances in the field. We work with both government and commercial customers in assisting them to deliver quality services to the people they serve. At Conduent you will use your knowledge and training to take the everyday services that our clients are using and add analytics, automation, intelligence to make these more efficient, more usable, more exciting and more functional. More About Us: Conduent Labs works closely with Conduent business groups to addresses real world challenges such as the rising cost of healthcare, mobility in urban society and payment card fraud in financial welfare programs. We adopt a multidisciplinary approach that combines techniques from diverse domains such as machine learning, statistical modeling, simulation, optimization and multimedia analysis, and use big data technologies to consolidate and analyze volumes of data from multiple sources in a scalable manner. Our work is guided by insights from ethnographic analysis and deep domain knowledge from both in-house and external experts. Fast facts: $6.5B in global business (2017) 8.9 million people estimated to travel through Conduent–managed toll systems daily. Our research team has generated over 700 patents and counting. 19 of 20 managed U.S. healthcare plans are clients. #1 provider of parking solutions in the U.S. with award-winning innovation. 3 of 5 top U.S. mobile service providers rely on us to deliver customer care. Position Description: The Research Scientist will apply their skills to work at the leading edge of automation in industries such as customer care, healthcare, social media, education, and legal and compliance solutions. Our call centers support a diverse set of clients where automating understanding of the intent, the topics, and the sentiment of the conversation will lead to a better customer experience. In our education services we seek to understand the training needs of our clients and evaluate their effective delivery through free text analysis. Content Moderation is a growing problem and being able to automate the process of determine if text and other content posted to social media violates policies would have great value. The NLP scientist will identify use cases, create demonstrations of capabilities, and identify new opportunities in these and other Conduent businesses. Responsibilities: The Natural Language Processing research scientist will be of the subject matter expert in innovative projects where natural language processing analytics will lead to increased efficiencies in businesses where Conduent operates. Apply machine learning and other techniques to design and prototype intelligent, real-world applications that intelligently extract understanding from text and/or audio sources. Keep abreast of the latest developments in the field by participating in conferences and other venues and can champion promising, new methods to explore. Proactively identify new areas of research and in partnership with business groups develop value-based proposals for investment. Work with “Intrapreneurial” business teams to develop and commercialize user-centric, adaptive and robust systems. Contribute to the external community through conference participation and journal articles. Qualifications: MS with 3+ years of experience or Ph.D. in Computer Science, Computation Linguistics or a related field. Experience with the various aspects of Natural Language Processing including named entity recognition, sentiment analysis, content summarization, intent recognition, and experience with an understanding of the algorithms by which these are implemented Must be a self-driven problem solver, capable of implementing innovative solutions to problems, performing experiments to show feasibility of their solutions and working to refine the solutions into a real-world context and demonstrated experience of working with teams to solve problems. Interdisciplinary skills: big data analytics, modeling and simulation, systems design and prototyping. The ideal candidate will possess … Experience and knowledge in services domains such as business process outsourcing systems, transportation systems, healthcare systems and financial services. Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by clicking on the following link, completing the accommodation request form, and submitting the request by using the "Submit" button at the bottom of the form. For those using Google Chrome or Mozilla Firefox please download the form first: click here to access or download the form . Job R D, Computer Science Engineering Primary Location United States-North Carolina-Morrisville Organization ITS Unposting Date Ongoing Travel No | Natural Language Processing |
| 1 | Natural Language Processing Engineer, New York City | Do you have a passion for the latest advances in Natural Language Processing? Are you looking for an energizing environment to hone your research, system design, and software engineering abilities? Do you want to build products that directly affect users? We are seeking a motivated Natural Language Processing Engineer to join our team. We are an international team of engineers and scientists with offices in New York City and Cairo. We have a diverse set of skills among our talented and professional team members, and we'd like you to contribute your abilities. You would help us improve and scale our state-of-the-art text summarization, document-clustering, and information extraction platform. Here are some examples of projects you may own: using relation extraction to detect discourse structure, tracking topics in hundred-page documents, or producing abstractive summaries for a high throughput of news articles in milliseconds. -------------------------- What you'll do day-to-day: -------------------------- Find solutions to hard NLP tasks by improving upon the latest academic literature, guiding the technical direction of our products Prototype and rapidly evaluate creative ideas to gain insight into their strengths and weaknesses Plan projects using Agile practices and design experiments using sound scientific methodologies Write high-quality code in Python and Java using many open-source frameworks and libraries Collaborate with engineers to build high-performance NLP Deep Learning pipelines ------------------ What you'll bring: ------------------ A track record of results in NLP and Deep Learning, preferably on GitHub Your coding skills to produce efficient, maintainable code quickly Your capacity to simplify and explain complex technical concepts verbally and in writing Your enthusiasm for solving problems with a team of engineers and scientists, as well as individually Your ability to adapt to changing requirements and re-prioritize with minimal supervision Your interest in publishing academic papers and keeping up to date on ground breaking published work | Natural Language Processing |
| 2 | Research Programmer I - Natural Language Processing | Information Sciences Institute (ISI), a unit of USC’s Viterbi School of Engineering, is a world leader in the research and development of advanced information processing, computing, and communications technologies. ISI has three research campuses: one in Marina Del Rey, CA; one in Arlington, VA; and one in Waltham, MA. This position is located in Waltham, MA. The ISI VISTA Center (https://www.isi.edu/centers/vista/overview) seeks applicants for a Research Programmer I position in the field of natural language processing (NLP). VISTA NLP researchers work on grant-funded research in areas such as information extraction, machine translation, and information retrieval. We are a fast-paced, deadline-driven research environment focused on creating robust intelligent systems that succeed when applied to real world problems and data. As an academically situated institute, we encourage development of and contributions to open source projects. Examples of current research projects include: Creation of a new open source information extraction toolkit to enable reasoning and experimentation using multiple document interpretations Automatic extraction of causal knowledge from varied information sources such as databases, news articles, reports, etc. Improving cross-language information retrieval for lower resourced languages by improving machine translation and text search in low data scenarios Applications of language technology to diverse problems such as detecting cyberattacks, assisting in disaster relief, and providing aids to human reasoning Successful candidates will have strong programming skills, interest or experience in natural language processing research and machine learning, and be passionate about building NLP systems through innovation and experimentation. Job duties include: Working with researchers to design and implement new NLP components and prepare presentations and publications Developing infrastructure for cleaning and processing data and running experiments to evaluate system performance Performing error analysis and suggesting and implementing improvements Transitioning research systems by packaging them as microservices Testing, debugging, and hardening complex pipelines of NLP components Basic Qualifications Master’s degree in computer science or a related field Expertise in Python (preferred) or Java Preferred Qualifications Experience participating in the research process in an academic setting Experience applying machine learning to NLP problems Experience with toolkits such as TensorFlow, PyTorch, or Keras The University of Southern California values diversity and is committed to equal opportunity in employment. Minimum Education: Master's degree, Combined work experience and education as equivalent Minimum Experience: 1 year Minimum Field of Expertise: Demonstrated creativity and innovation in solving conceptual programming problems. Competent to work independently on complex programming. | Natural Language Processing |
| 3 | Siri - Natural Language Processing Scientist/Engineer | Summary Posted: Jan 23, 2019 Weekly Hours: 40 Role Number: 200010533 "People with passion can change the world" The launch of Siri was a defining moment in the history of Artificial Intelligence. Hundreds of millions of people now use Siri to send a message, play their favourite song or even take a selfie. Now imagine what you could do here at Apple? At Apple we're driving a new revolution in the way people and machines interact. We are looking for a creative Senior Applied Scientist to own the development of new algorithms for implementing conversational dialogue with the overall goal of making Siri more intelligent. Our team is developing the next generation of human-machine interaction. The team includes renowned academics, top software engineers and experienced machine learning practitioners. If you are interested in combining your NLP expertise with cutting edge machine learning, working alongside top quality software engineers, then come and join us. We are interested in both recent graduates and candidates with a few years experience. We have access to excellent resources including huge compute grids, top-quality machine learning tools, and large quantities of data. We work together to push the boundaries of artificial intelligence with a single aim: to make a real difference to the lives of the hundreds of millions of Siri users. Key Qualifications Understanding of standard NLP models and ability to implement them (essential) Sound understanding of the basics of machine learning (essential) Good software engineering skills (essential) Experience with large-scale machine-learned systems (desired) Publications in top-tier NLP and/or machine-learning conferences (desired) Description Working as part of an extraordinary team, including world renowned academics, top software engineers and expert machine learning practitioners, we are passionate about applying groundbreaking techniques to conversational dialogue. Siri processes more than a billion requests every week, so you will enjoy implementing machine learning at scale and you'll take on all the complexities involved in taking research work through to production. You will love the state of the art resources at Apple. Huge compute grids, top-quality machine learning tools, and large quantities of data will help you improve user facing features. Investigating new NLP models and prototyping solutions within the Siri system. The job will involve data preparation, engineering NLP machine-learned models at scale and contributing to the reporting of scientific results. The overall goal is to make Siri more intelligent. There are many difficult problems for us to solve, so we're keen to take on new ideas and ways of thinking. If this is you, we'd love to hear from you. Education Experience MSc or PhD in Machine Learning and Statistical Natural Language Processing (or equivalent practical experience) | Natural Language Processing |
| 4 | NLP and Machine Learning Graduate | $25 - $40 an hour Mei is a unique messaging app (www.textmei.com) that analyzes text messages and give users intelligence on their texting relationships. We combine data and machine learning to create language processing algorithms that give actionable intelligence to our users.Responsibilities and Duties:This position is a unique opportunity to gain hands-on experience in natural language processing/understanding and exposure to deep learning and neural networks.We are looking for a bright recent graduate who will help develop and refine a wide range of prediction algorithms using python and explore open source tools in natural language processing. You will conduct research and help implement applications that may be incorporated into our app, so a strong programming background is a must.This learning opportunity for a recent grad requires you to work in our office in Brooklyn, NY.Qualifications and Skills:Major or equivalent coursework in computer science, engineering, or NLPProgramming experience with PythonFamiliarity with SQLGood communication and writing skills as you will be working closely within a small teamStrong research experiencePreferred (but not required):Applied experience using deep learning, TensorflowExperience with DjangoFamiliarity with NLP libraries, word embeddingsLong cover letter is not required, but give us a sense of why you’re interested in NLP/machine learning and what you have already done to demonstrate your interest. Please email this with resume to jobs (at) textmei.com.Job Types: Full-time, Flexible HoursSalary: $25.00 to $40.00 /hour depending on experienceJob Type: Full-timeSalary: $25.00 to $40.00 /hourExperience:Machine Learning: 1 year (Preferred)Location:New York, NY (Required)Language:English (Required)Work authorization:United States (Required) | Natural Language Processing |
| 5 | AI Research - Natural Language Processing(NLP) Scientist | Job Type: Full-time Department: AI Platform and Research JD AI Research is looking for top-notch research scientists to join Silicon Valley Labs. It's an exciting opportunity to join our early stage team to work on a wide variety of research areas in natural language processing, including natural language understanding, natural language generation, spoken dialog systems, question answering and machine reading comprehension. Responsibilities: Define ambitious, relevant AI research problems and criteria for evaluating success. Build state-of-the-art solutions by designing algorithms and carrying out experiments. Work with engineering teams, when appropriate, to get solutions into use. Publish in top-notch conferences Qualifications: Ph.D. or master's degree in computer science, NLP related field. Ability to communicate/collaborate with other researchers/engineers including our team members in China (ability to speak Chinese is NOT required) Ability to implement experiments using scripting languages (Python, Perl, bash) and tools written in C/C++. Experience working with deep learning frameworks (Tensorflow, Pytorch, Torch, Mxnet, CNTK, etc.) and related tools in each special field; Publication record in top NLP conferences (ACL, NAACL, EMNLP, NIPS, SIGIR, WWW etc) is a must. About JD AI Research (JDAIR) JD AI Research (JDAIR) focuses on the continuous innovation and optimization of algorithms to meet our developing business needs. Significant areas of research include natural language processing, spoken dialog systems, computer vision, and machine learning (including deep learning and reinforcement learning). JDAIR has established research centers in Beijing and Silicon Valley, and we are in the process of opening an additional research center in Europe. JD.com is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. | Natural Language Processing |
| 6 | Analytical Linguist, Google AI | Note: By applying to this position your application is automatically submitted to the following locations: Mountain View, CA, USA; New York, NY, USA Minimum qualifications: PhD or Master’s degree in Linguistics, or Computational Linguistics, with experience in core areas such as semantics, syntax, morphology, phonetics, phonology, and/or discourse. Experience with scripting languages working in a Linux environment. Experience developing projects or curricula from concept to completion and collaborating internationally with multiple partners on multi-quarter projects. Preferred qualifications: Multilingual speaker with 2 years experience in NLP research or related fields. Familiarity with experimental design, research methodologies, qualitative and quantitative analysis. Familiarity with Python, C++ or other programming languages. Independent worker with the ability to effectively operate with flexibility in a fast paced, constantly evolving team environment. Team player with exceptional interpersonal and solution-oriented attitude. Creative thinker with strong problem solving and analytical skills and excellent written and verbal communication skills. About the job Analytical Linguists work across Google to drive improvements in quality, classification, information structure, and natural language understanding and generation. As an Analytical Linguist you will work both on complex projects spanning multiple products, groups, and disciplines, and on tightly focused efforts to produce specific product components or answer specific research questions. Analytical Linguists work in many different areas and arrive with a wide variety of skills—your specialization might involve natural language processing and understanding, phonology, phonetics, syntax, semantics, ontology, program management, human subject research, experimental design, statistics, corpus linguistics, large scale data acquisition, or any combination. This team is part of some of the most groundbreaking and exciting work at Google. It's our goal to use insights from linguistics and related fields to constantly improve our products. There is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We're constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We're providing users around the world with great search results every day, but at Google, great just isn't good enough. We're just getting started. Responsibilities Work closely with researchers and engineers by providing linguistic expertise and direction for language specific projects and/or dialogue analysis/modeling Train and/or evaluate Natural Language Processing (NLP) or dialogue systems and propose solutions Propose and run research experiments around linguistic phenomena Create annotation guidelines and instructions; recruit, hire and manage linguistic experts. Monitor data acquisition and curation; design quality control methodology, experiments, implementation and improvements At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by emailing candidateaccommodations@google.com . | Natural Language Processing |
| 7 | IBM Research AI Residency Program | Job Description IBM Research AI Residency Program: The IBM Research AI Residency program is a 12-month program that provides opportunity for scientists, engineers, domain experts and entrepreneurs to conduct innovative research and development on important and emerging topics in Artificial Intelligence. The program aims at creating and investigating novel approaches in AI that progress capabilities towards significant technical and real world challenges. AI Residents will work closely with IBM Research scientists and are expected to fully complete a project within the 12-month residency. The results of the project may include publications in top-AI conferences and journals, development of prototypes demonstrating important new AI functionality, and fielding of working AI systems. As part of the application process, candidates will be asked to submit an 500-word statement of research interest and goals. Topics of focus include Deep Learning (Artificial Neural Networks, Transfer Learning, Few-Shot/One-Shot Learning, Neural Architecture Search, Generative methods, Reinforcement Learning), Natural Language Processing and Understanding (Question Answering, Reading and Listening Comprehension, Dialog), Multi-modal Perception (Vision, Speech, Audio), Knowledge and Reasoning (Knowledge/Graph Embeddings, Neural Reasoning, Learning + Reasoning), Trust in AI (Causal Modeling, Explanability, Fairness, Robustness), and Scaling (Distributed Learning, Mixed Precision Computation, HW Acceleration, AI + Quantum Computing). When: Starting dates as early as June 1, 2019 (AI Residencies are 12-months in duration) Where: IBM T. J. Watson Research Center (Yorktown Heights, NY) IBM Research AI and MIT-IBM Watson AI Lab (Cambridge, MA) Deadline for applying: Application deadline: March 31, 2019 Required Technical and Professional Expertise Experience in creating and leveraging AI techniques, such as machine learning, natural language processing, and knowledge and reasoning Experience with machine learning tools and frameworks, such as Theano, Tensorflow, Caffe, Torch Expertise and experience in programming in one or more of these languages: Java, Python, C, C++ Advanced skill level in solving analytical problems using rigorous and quantitative approaches Preferred Tech and Prof Experience Computer Science, Applied Mathematics or related technical fields Advanced skill level in creating and leveraging AI techniques, such as machine learning/deep learning, natural language processing, vision, speech, audio, knowledge and reasoning, causal modeling, explanability, fairness, robustness, distributed learning, and HW acceleration. Experience communicating your research in technical communities, such as publications in NIPS, CVPR, ICML, ICLR, IJCAI, AAAI, KDD, or similar Experience analyzing large scale data from a variety of sources EO Statement IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. | Natural Language Processing |
| 8 | AI Research Engineer – Natural Language Processing | Title: AI Engineer – Natural Language Processing Company: Samsung Research America Lab: Artificial Intelligence Center Location: Mountain View, CA Lab Summary: Samsung is working towards a vision of providing world-class AI services on its industry-leading hardware platforms like the Galaxy phones, and home appliances like the smart refrigerators and TVs, smart washers and dryers, etc. Real-time AI services on these connected devices will enable users to interact with devices more naturally via spoken dialog, visual interaction, continuous learning, and big data analysis. Position Summary: We are looking for candidates interested in extending our capabilities on cross-lingual NLP and enabling novel NLP technologies. The ideal candidate will have strong software engineering skills. They should also have background in NLP systems, experience of deep learning, and experience working with massive amounts of data. Responsibilities Include: Develop prototypes and real-world applications and improve the performance with various technologies Integrate the resulting system/software into existing platform with high quality implementation Experience Requirements: Master or Ph.D. in Computer Science or related field R D experience in natural language processing, machine learning and related fields R D experience in information extraction and text mining technologies Hands-on experience of deep learning technologies and familiar with state-of-the-art deep learning toolkits (e.g., TensorFlow, PyTorch, Keras, etc) Experience in programming languages (C++, Python, Java, etc) Strong problem solving skills Good communication and team-working skills Experience Preferred: Experience in natural language processing, information extraction, text mining technologies and related fields Experience in a front-end language like Elm, JavaScript, Objective-C or Swift Experience in at least one front-end web development framework such as React, Angular, Rails, Django, Vue.js Experience in HTTP APIs and RESTful web services Understanding of web browser APIs and behavior Samsung is an EEO/Veterans/Disabled/LGBT employer. We welcome and encourage diversity as we strive to create an inclusive workplace. | Natural Language Processing |
| 9 | Software Engineer: Machine Learning - Natural Language Processing (NLP) | Minimum Qualifications BA/BS degree in Computer Science or related technical field or equivalent practical experience. 2 years of work or educational experience in Machine Learning or Artificial Intelligence. 1 year of professional software development experience. Experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python. Preferred Qualifications MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field. Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar. To apply, send your resume to careers@kikatech.com. | Natural Language Processing |
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| title | job_description | job_class | |
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| 0 | Research Scientist Natural Language Processing | <Conduent is the world's largest provider of diversified business process services with leading capabilities in transaction processing, automation, analytics and constituent experience. We work with both government and commercial customers in assisting them to deliver quality services to the people they serve. We manage interactions with patients and the insured for a significant portion of the U.S. healthcare industry. We are the customer interface for large segments of the technology industry and the operational and processing partner of choice for public transportation systems around the world. Whether it's digital payments, claims processing, benefit administration, automated tolling, customer care or distributed learning - Conduent manages and modernizes these interactions to create value for both our clients and their constituents. Learn more at www.conduent.com . Research Scientist - Natural Language Processing for the world's largest provider of diversified BPO services Wouldn’t it be great to use your Natural Language Processing (NLP) experience to improve the lives of citizens, patients, and employees around the world? At Conduent, we’re building algorithms and tools that do exactly that. If you’re interested in an exciting, innovative position that allows you to leverage these skills, then you’re just the kind of person we’re looking for. Conduent is enhancing its platforms in transportation, healthcare, financial services and customer care with predictive and prescriptive analytics. Because of the broad range of fields we provide services for, you can be assured of not being pigeonholed into a narrow domain and continue to be challenged by applying the latest advances in the field. We work with both government and commercial customers in assisting them to deliver quality services to the people they serve. At Conduent you will use your knowledge and training to take the everyday services that our clients are using and add analytics, automation, intelligence to make these more efficient, more usable, more exciting and more functional. More About Us: Conduent Labs works closely with Conduent business groups to addresses real world challenges such as the rising cost of healthcare, mobility in urban society and payment card fraud in financial welfare programs. We adopt a multidisciplinary approach that combines techniques from diverse domains such as machine learning, statistical modeling, simulation, optimization and multimedia analysis, and use big data technologies to consolidate and analyze volumes of data from multiple sources in a scalable manner. Our work is guided by insights from ethnographic analysis and deep domain knowledge from both in-house and external experts. Fast facts: $6.5B in global business (2017) 8.9 million people estimated to travel through Conduent–managed toll systems daily. Our research team has generated over 700 patents and counting. 19 of 20 managed U.S. healthcare plans are clients. #1 provider of parking solutions in the U.S. with award-winning innovation. 3 of 5 top U.S. mobile service providers rely on us to deliver customer care. Position Description: The Research Scientist will apply their skills to work at the leading edge of automation in industries such as customer care, healthcare, social media, education, and legal and compliance solutions. Our call centers support a diverse set of clients where automating understanding of the intent, the topics, and the sentiment of the conversation will lead to a better customer experience. In our education services we seek to understand the training needs of our clients and evaluate their effective delivery through free text analysis. Content Moderation is a growing problem and being able to automate the process of determine if text and other content posted to social media violates policies would have great value. The NLP scientist will identify use cases, create demonstrations of capabilities, and identify new opportunities in these and other Conduent businesses. Responsibilities: The Natural Language Processing research scientist will be of the subject matter expert in innovative projects where natural language processing analytics will lead to increased efficiencies in businesses where Conduent operates. Apply machine learning and other techniques to design and prototype intelligent, real-world applications that intelligently extract understanding from text and/or audio sources. Keep abreast of the latest developments in the field by participating in conferences and other venues and can champion promising, new methods to explore. Proactively identify new areas of research and in partnership with business groups develop value-based proposals for investment. Work with “Intrapreneurial” business teams to develop and commercialize user-centric, adaptive and robust systems. Contribute to the external community through conference participation and journal articles. Qualifications: MS with 3+ years of experience or Ph.D. in Computer Science, Computation Linguistics or a related field. Experience with the various aspects of Natural Language Processing including named entity recognition, sentiment analysis, content summarization, intent recognition, and experience with an understanding of the algorithms by which these are implemented Must be a self-driven problem solver, capable of implementing innovative solutions to problems, performing experiments to show feasibility of their solutions and working to refine the solutions into a real-world context and demonstrated experience of working with teams to solve problems. Interdisciplinary skills: big data analytics, modeling and simulation, systems design and prototyping. The ideal candidate will possess … Experience and knowledge in services domains such as business process outsourcing systems, transportation systems, healthcare systems and financial services. Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by clicking on the following link, completing the accommodation request form, and submitting the request by using the "Submit" button at the bottom of the form. For those using Google Chrome or Mozilla Firefox please download the form first: click here to access or download the form . Job R D, Computer Science Engineering Primary Location United States-North Carolina-Morrisville Organization ITS Unposting Date Ongoing Travel No | Natural Language Processing |
| 1 | Natural Language Processing Engineer New York City | Do you have a passion for the latest advances in Natural Language Processing? Are you looking for an energizing environment to hone your research, system design, and software engineering abilities? Do you want to build products that directly affect users? We are seeking a motivated Natural Language Processing Engineer to join our team. We are an international team of engineers and scientists with offices in New York City and Cairo. We have a diverse set of skills among our talented and professional team members, and we'd like you to contribute your abilities. You would help us improve and scale our state-of-the-art text summarization, document-clustering, and information extraction platform. Here are some examples of projects you may own: using relation extraction to detect discourse structure, tracking topics in hundred-page documents, or producing abstractive summaries for a high throughput of news articles in milliseconds. -------------------------- What you'll do day-to-day: -------------------------- Find solutions to hard NLP tasks by improving upon the latest academic literature, guiding the technical direction of our products Prototype and rapidly evaluate creative ideas to gain insight into their strengths and weaknesses Plan projects using Agile practices and design experiments using sound scientific methodologies Write high-quality code in Python and Java using many open-source frameworks and libraries Collaborate with engineers to build high-performance NLP Deep Learning pipelines ------------------ What you'll bring: ------------------ A track record of results in NLP and Deep Learning, preferably on GitHub Your coding skills to produce efficient, maintainable code quickly Your capacity to simplify and explain complex technical concepts verbally and in writing Your enthusiasm for solving problems with a team of engineers and scientists, as well as individually Your ability to adapt to changing requirements and re-prioritize with minimal supervision Your interest in publishing academic papers and keeping up to date on ground breaking published work | Natural Language Processing |
| 2 | Research Programmer I Natural Language Processing | Information Sciences Institute (ISI), a unit of USC’s Viterbi School of Engineering, is a world leader in the research and development of advanced information processing, computing, and communications technologies. ISI has three research campuses: one in Marina Del Rey, CA; one in Arlington, VA; and one in Waltham, MA. This position is located in Waltham, MA. The ISI VISTA Center (https://www.isi.edu/centers/vista/overview) seeks applicants for a Research Programmer I position in the field of natural language processing (NLP). VISTA NLP researchers work on grant-funded research in areas such as information extraction, machine translation, and information retrieval. We are a fast-paced, deadline-driven research environment focused on creating robust intelligent systems that succeed when applied to real world problems and data. As an academically situated institute, we encourage development of and contributions to open source projects. Examples of current research projects include: Creation of a new open source information extraction toolkit to enable reasoning and experimentation using multiple document interpretations Automatic extraction of causal knowledge from varied information sources such as databases, news articles, reports, etc. Improving cross-language information retrieval for lower resourced languages by improving machine translation and text search in low data scenarios Applications of language technology to diverse problems such as detecting cyberattacks, assisting in disaster relief, and providing aids to human reasoning Successful candidates will have strong programming skills, interest or experience in natural language processing research and machine learning, and be passionate about building NLP systems through innovation and experimentation. Job duties include: Working with researchers to design and implement new NLP components and prepare presentations and publications Developing infrastructure for cleaning and processing data and running experiments to evaluate system performance Performing error analysis and suggesting and implementing improvements Transitioning research systems by packaging them as microservices Testing, debugging, and hardening complex pipelines of NLP components Basic Qualifications Master’s degree in computer science or a related field Expertise in Python (preferred) or Java Preferred Qualifications Experience participating in the research process in an academic setting Experience applying machine learning to NLP problems Experience with toolkits such as TensorFlow, PyTorch, or Keras The University of Southern California values diversity and is committed to equal opportunity in employment. Minimum Education: Master's degree, Combined work experience and education as equivalent Minimum Experience: 1 year Minimum Field of Expertise: Demonstrated creativity and innovation in solving conceptual programming problems. Competent to work independently on complex programming. | Natural Language Processing |
| 3 | Siri Natural Language Processing Scientist Engineer | Summary Posted: Jan 23, 2019 Weekly Hours: 40 Role Number: 200010533 "People with passion can change the world" The launch of Siri was a defining moment in the history of Artificial Intelligence. Hundreds of millions of people now use Siri to send a message, play their favourite song or even take a selfie. Now imagine what you could do here at Apple? At Apple we're driving a new revolution in the way people and machines interact. We are looking for a creative Senior Applied Scientist to own the development of new algorithms for implementing conversational dialogue with the overall goal of making Siri more intelligent. Our team is developing the next generation of human-machine interaction. The team includes renowned academics, top software engineers and experienced machine learning practitioners. If you are interested in combining your NLP expertise with cutting edge machine learning, working alongside top quality software engineers, then come and join us. We are interested in both recent graduates and candidates with a few years experience. We have access to excellent resources including huge compute grids, top-quality machine learning tools, and large quantities of data. We work together to push the boundaries of artificial intelligence with a single aim: to make a real difference to the lives of the hundreds of millions of Siri users. Key Qualifications Understanding of standard NLP models and ability to implement them (essential) Sound understanding of the basics of machine learning (essential) Good software engineering skills (essential) Experience with large-scale machine-learned systems (desired) Publications in top-tier NLP and/or machine-learning conferences (desired) Description Working as part of an extraordinary team, including world renowned academics, top software engineers and expert machine learning practitioners, we are passionate about applying groundbreaking techniques to conversational dialogue. Siri processes more than a billion requests every week, so you will enjoy implementing machine learning at scale and you'll take on all the complexities involved in taking research work through to production. You will love the state of the art resources at Apple. Huge compute grids, top-quality machine learning tools, and large quantities of data will help you improve user facing features. Investigating new NLP models and prototyping solutions within the Siri system. The job will involve data preparation, engineering NLP machine-learned models at scale and contributing to the reporting of scientific results. The overall goal is to make Siri more intelligent. There are many difficult problems for us to solve, so we're keen to take on new ideas and ways of thinking. If this is you, we'd love to hear from you. Education Experience MSc or PhD in Machine Learning and Statistical Natural Language Processing (or equivalent practical experience) | Natural Language Processing |
| 4 | NLP and Machine Learning Graduate | $25 - $40 an hour Mei is a unique messaging app (www.textmei.com) that analyzes text messages and give users intelligence on their texting relationships. We combine data and machine learning to create language processing algorithms that give actionable intelligence to our users.Responsibilities and Duties:This position is a unique opportunity to gain hands-on experience in natural language processing/understanding and exposure to deep learning and neural networks.We are looking for a bright recent graduate who will help develop and refine a wide range of prediction algorithms using python and explore open source tools in natural language processing. You will conduct research and help implement applications that may be incorporated into our app, so a strong programming background is a must.This learning opportunity for a recent grad requires you to work in our office in Brooklyn, NY.Qualifications and Skills:Major or equivalent coursework in computer science, engineering, or NLPProgramming experience with PythonFamiliarity with SQLGood communication and writing skills as you will be working closely within a small teamStrong research experiencePreferred (but not required):Applied experience using deep learning, TensorflowExperience with DjangoFamiliarity with NLP libraries, word embeddingsLong cover letter is not required, but give us a sense of why you’re interested in NLP/machine learning and what you have already done to demonstrate your interest. Please email this with resume to jobs (at) textmei.com.Job Types: Full-time, Flexible HoursSalary: $25.00 to $40.00 /hour depending on experienceJob Type: Full-timeSalary: $25.00 to $40.00 /hourExperience:Machine Learning: 1 year (Preferred)Location:New York, NY (Required)Language:English (Required)Work authorization:United States (Required) | Natural Language Processing |
| 5 | AI Research Natural Language Processing NLP Scientist | Job Type: Full-time Department: AI Platform and Research JD AI Research is looking for top-notch research scientists to join Silicon Valley Labs. It's an exciting opportunity to join our early stage team to work on a wide variety of research areas in natural language processing, including natural language understanding, natural language generation, spoken dialog systems, question answering and machine reading comprehension. Responsibilities: Define ambitious, relevant AI research problems and criteria for evaluating success. Build state-of-the-art solutions by designing algorithms and carrying out experiments. Work with engineering teams, when appropriate, to get solutions into use. Publish in top-notch conferences Qualifications: Ph.D. or master's degree in computer science, NLP related field. Ability to communicate/collaborate with other researchers/engineers including our team members in China (ability to speak Chinese is NOT required) Ability to implement experiments using scripting languages (Python, Perl, bash) and tools written in C/C++. Experience working with deep learning frameworks (Tensorflow, Pytorch, Torch, Mxnet, CNTK, etc.) and related tools in each special field; Publication record in top NLP conferences (ACL, NAACL, EMNLP, NIPS, SIGIR, WWW etc) is a must. About JD AI Research (JDAIR) JD AI Research (JDAIR) focuses on the continuous innovation and optimization of algorithms to meet our developing business needs. Significant areas of research include natural language processing, spoken dialog systems, computer vision, and machine learning (including deep learning and reinforcement learning). JDAIR has established research centers in Beijing and Silicon Valley, and we are in the process of opening an additional research center in Europe. JD.com is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. | Natural Language Processing |
| 6 | Analytical Linguist Google AI | Note: By applying to this position your application is automatically submitted to the following locations: Mountain View, CA, USA; New York, NY, USA Minimum qualifications: PhD or Master’s degree in Linguistics, or Computational Linguistics, with experience in core areas such as semantics, syntax, morphology, phonetics, phonology, and/or discourse. Experience with scripting languages working in a Linux environment. Experience developing projects or curricula from concept to completion and collaborating internationally with multiple partners on multi-quarter projects. Preferred qualifications: Multilingual speaker with 2 years experience in NLP research or related fields. Familiarity with experimental design, research methodologies, qualitative and quantitative analysis. Familiarity with Python, C++ or other programming languages. Independent worker with the ability to effectively operate with flexibility in a fast paced, constantly evolving team environment. Team player with exceptional interpersonal and solution-oriented attitude. Creative thinker with strong problem solving and analytical skills and excellent written and verbal communication skills. About the job Analytical Linguists work across Google to drive improvements in quality, classification, information structure, and natural language understanding and generation. As an Analytical Linguist you will work both on complex projects spanning multiple products, groups, and disciplines, and on tightly focused efforts to produce specific product components or answer specific research questions. Analytical Linguists work in many different areas and arrive with a wide variety of skills—your specialization might involve natural language processing and understanding, phonology, phonetics, syntax, semantics, ontology, program management, human subject research, experimental design, statistics, corpus linguistics, large scale data acquisition, or any combination. This team is part of some of the most groundbreaking and exciting work at Google. It's our goal to use insights from linguistics and related fields to constantly improve our products. There is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We're constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We're providing users around the world with great search results every day, but at Google, great just isn't good enough. We're just getting started. Responsibilities Work closely with researchers and engineers by providing linguistic expertise and direction for language specific projects and/or dialogue analysis/modeling Train and/or evaluate Natural Language Processing (NLP) or dialogue systems and propose solutions Propose and run research experiments around linguistic phenomena Create annotation guidelines and instructions; recruit, hire and manage linguistic experts. Monitor data acquisition and curation; design quality control methodology, experiments, implementation and improvements At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by emailing candidateaccommodations@google.com . | Natural Language Processing |
| 7 | IBM Research AI Residency Program | Job Description IBM Research AI Residency Program: The IBM Research AI Residency program is a 12-month program that provides opportunity for scientists, engineers, domain experts and entrepreneurs to conduct innovative research and development on important and emerging topics in Artificial Intelligence. The program aims at creating and investigating novel approaches in AI that progress capabilities towards significant technical and real world challenges. AI Residents will work closely with IBM Research scientists and are expected to fully complete a project within the 12-month residency. The results of the project may include publications in top-AI conferences and journals, development of prototypes demonstrating important new AI functionality, and fielding of working AI systems. As part of the application process, candidates will be asked to submit an 500-word statement of research interest and goals. Topics of focus include Deep Learning (Artificial Neural Networks, Transfer Learning, Few-Shot/One-Shot Learning, Neural Architecture Search, Generative methods, Reinforcement Learning), Natural Language Processing and Understanding (Question Answering, Reading and Listening Comprehension, Dialog), Multi-modal Perception (Vision, Speech, Audio), Knowledge and Reasoning (Knowledge/Graph Embeddings, Neural Reasoning, Learning + Reasoning), Trust in AI (Causal Modeling, Explanability, Fairness, Robustness), and Scaling (Distributed Learning, Mixed Precision Computation, HW Acceleration, AI + Quantum Computing). When: Starting dates as early as June 1, 2019 (AI Residencies are 12-months in duration) Where: IBM T. J. Watson Research Center (Yorktown Heights, NY) IBM Research AI and MIT-IBM Watson AI Lab (Cambridge, MA) Deadline for applying: Application deadline: March 31, 2019 Required Technical and Professional Expertise Experience in creating and leveraging AI techniques, such as machine learning, natural language processing, and knowledge and reasoning Experience with machine learning tools and frameworks, such as Theano, Tensorflow, Caffe, Torch Expertise and experience in programming in one or more of these languages: Java, Python, C, C++ Advanced skill level in solving analytical problems using rigorous and quantitative approaches Preferred Tech and Prof Experience Computer Science, Applied Mathematics or related technical fields Advanced skill level in creating and leveraging AI techniques, such as machine learning/deep learning, natural language processing, vision, speech, audio, knowledge and reasoning, causal modeling, explanability, fairness, robustness, distributed learning, and HW acceleration. Experience communicating your research in technical communities, such as publications in NIPS, CVPR, ICML, ICLR, IJCAI, AAAI, KDD, or similar Experience analyzing large scale data from a variety of sources EO Statement IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. | Natural Language Processing |
| 8 | AI Research Engineer – Natural Language Processing | Title: AI Engineer – Natural Language Processing Company: Samsung Research America Lab: Artificial Intelligence Center Location: Mountain View, CA Lab Summary: Samsung is working towards a vision of providing world-class AI services on its industry-leading hardware platforms like the Galaxy phones, and home appliances like the smart refrigerators and TVs, smart washers and dryers, etc. Real-time AI services on these connected devices will enable users to interact with devices more naturally via spoken dialog, visual interaction, continuous learning, and big data analysis. Position Summary: We are looking for candidates interested in extending our capabilities on cross-lingual NLP and enabling novel NLP technologies. The ideal candidate will have strong software engineering skills. They should also have background in NLP systems, experience of deep learning, and experience working with massive amounts of data. Responsibilities Include: Develop prototypes and real-world applications and improve the performance with various technologies Integrate the resulting system/software into existing platform with high quality implementation Experience Requirements: Master or Ph.D. in Computer Science or related field R D experience in natural language processing, machine learning and related fields R D experience in information extraction and text mining technologies Hands-on experience of deep learning technologies and familiar with state-of-the-art deep learning toolkits (e.g., TensorFlow, PyTorch, Keras, etc) Experience in programming languages (C++, Python, Java, etc) Strong problem solving skills Good communication and team-working skills Experience Preferred: Experience in natural language processing, information extraction, text mining technologies and related fields Experience in a front-end language like Elm, JavaScript, Objective-C or Swift Experience in at least one front-end web development framework such as React, Angular, Rails, Django, Vue.js Experience in HTTP APIs and RESTful web services Understanding of web browser APIs and behavior Samsung is an EEO/Veterans/Disabled/LGBT employer. We welcome and encourage diversity as we strive to create an inclusive workplace. | Natural Language Processing |
| 9 | Software Engineer Machine Learning Natural Language Processing NLP | Minimum Qualifications BA/BS degree in Computer Science or related technical field or equivalent practical experience. 2 years of work or educational experience in Machine Learning or Artificial Intelligence. 1 year of professional software development experience. Experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python. Preferred Qualifications MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field. Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar. To apply, send your resume to careers@kikatech.com. | Natural Language Processing |
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| title | job_description | job_class | |
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| 0 | Research Scientist Natural Language Processing | Conduent is the world s largest provider of diversified business process services with leading capabilities in transaction processing automation analytics and constituent experience We work with both government and commercial customers in assisting them to deliver quality services to the people they serve We manage interactions with patients and the insured for a significant portion of the U S healthcare industry We are the customer interface for large segments of the technology industry and the operational and processing partner of choice for public transportation systems around the world Whether it s digital payments claims processing benefit administration automated tolling customer care or distributed learning Conduent manages and modernizes these interactions to create value for both our clients and their constituents Learn more at www conduent com Research Scientist Natural Language Processing for the world s largest provider of diversified BPO services Wouldn’t it be great to use your Natural Language Processing NLP experience to improve the lives of citizens patients and employees around the world At Conduent we’re building algorithms and tools that do exactly that If you’re interested in an exciting innovative position that allows you to leverage these skills then you’re just the kind of person we’re looking for Conduent is enhancing its platforms in transportation healthcare financial services and customer care with predictive and prescriptive analytics Because of the broad range of fields we provide services for you can be assured of not being pigeonholed into a narrow domain and continue to be challenged by applying the latest advances in the field We work with both government and commercial customers in assisting them to deliver quality services to the people they serve At Conduent you will use your knowledge and training to take the everyday services that our clients are using and add analytics automation intelligence to make these more efficient more usable more exciting and more functional More About Us Conduent Labs works closely with Conduent business groups to addresses real world challenges such as the rising cost of healthcare mobility in urban society and payment card fraud in financial welfare programs We adopt a multidisciplinary approach that combines techniques from diverse domains such as machine learning statistical modeling simulation optimization and multimedia analysis and use big data technologies to consolidate and analyze volumes of data from multiple sources in a scalable manner Our work is guided by insights from ethnographic analysis and deep domain knowledge from both in house and external experts Fast facts 6 5B in global business 2017 8 9 million people estimated to travel through Conduent–managed toll systems daily Our research team has generated over 700 patents and counting 19 of 20 managed U S healthcare plans are clients 1 provider of parking solutions in the U S with award winning innovation 3 of 5 top U S mobile service providers rely on us to deliver customer care Position Description The Research Scientist will apply their skills to work at the leading edge of automation in industries such as customer care healthcare social media education and legal and compliance solutions Our call centers support a diverse set of clients where automating understanding of the intent the topics and the sentiment of the conversation will lead to a better customer experience In our education services we seek to understand the training needs of our clients and evaluate their effective delivery through free text analysis Content Moderation is a growing problem and being able to automate the process of determine if text and other content posted to social media violates policies would have great value The NLP scientist will identify use cases create demonstrations of capabilities and identify new opportunities in these and other Conduent businesses Responsibilities The Natural Language Processing research scientist will be of the subject matter expert in innovative projects where natural language processing analytics will lead to increased efficiencies in businesses where Conduent operates Apply machine learning and other techniques to design and prototype intelligent real world applications that intelligently extract understanding from text and or audio sources Keep abreast of the latest developments in the field by participating in conferences and other venues and can champion promising new methods to explore Proactively identify new areas of research and in partnership with business groups develop value based proposals for investment Work with “Intrapreneurial” business teams to develop and commercialize user centric adaptive and robust systems Contribute to the external community through conference participation and journal articles Qualifications MS with 3 years of experience or Ph D in Computer Science Computation Linguistics or a related field Experience with the various aspects of Natural Language Processing including named entity recognition sentiment analysis content summarization intent recognition and experience with an understanding of the algorithms by which these are implemented Must be a self driven problem solver capable of implementing innovative solutions to problems performing experiments to show feasibility of their solutions and working to refine the solutions into a real world context and demonstrated experience of working with teams to solve problems Interdisciplinary skills big data analytics modeling and simulation systems design and prototyping The ideal candidate will possess … Experience and knowledge in services domains such as business process outsourcing systems transportation systems healthcare systems and financial services Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race color creed religion ancestry national origin age gender identity gender expression sex gender marital status sexual orientation physical or mental disability medical condition use of a guide dog or service animal military veteran status citizenship status basis of genetic information or any other group protected by law People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation s by clicking on the following link completing the accommodation request form and submitting the request by using the Submit button at the bottom of the form For those using Google Chrome or Mozilla Firefox please download the form first click here to access or download the form Job R D Computer Science Engineering Primary Location United States North Carolina Morrisville Organization ITS Unposting Date Ongoing Travel No | Natural Language Processing |
| 1 | Natural Language Processing Engineer New York City | Do you have a passion for the latest advances in Natural Language Processing Are you looking for an energizing environment to hone your research system design and software engineering abilities Do you want to build products that directly affect users We are seeking a motivated Natural Language Processing Engineer to join our team We are an international team of engineers and scientists with offices in New York City and Cairo We have a diverse set of skills among our talented and professional team members and we d like you to contribute your abilities You would help us improve and scale our state of the art text summarization document clustering and information extraction platform Here are some examples of projects you may own using relation extraction to detect discourse structure tracking topics in hundred page documents or producing abstractive summaries for a high throughput of news articles in milliseconds What you ll do day to day Find solutions to hard NLP tasks by improving upon the latest academic literature guiding the technical direction of our products Prototype and rapidly evaluate creative ideas to gain insight into their strengths and weaknesses Plan projects using Agile practices and design experiments using sound scientific methodologies Write high quality code in Python and Java using many open source frameworks and libraries Collaborate with engineers to build high performance NLP Deep Learning pipelines What you ll bring A track record of results in NLP and Deep Learning preferably on GitHub Your coding skills to produce efficient maintainable code quickly Your capacity to simplify and explain complex technical concepts verbally and in writing Your enthusiasm for solving problems with a team of engineers and scientists as well as individually Your ability to adapt to changing requirements and re prioritize with minimal supervision Your interest in publishing academic papers and keeping up to date on ground breaking published work | Natural Language Processing |
| 2 | Research Programmer I Natural Language Processing | Information Sciences Institute ISI a unit of USC’s Viterbi School of Engineering is a world leader in the research and development of advanced information processing computing and communications technologies ISI has three research campuses one in Marina Del Rey CA one in Arlington VA and one in Waltham MA This position is located in Waltham MA The ISI VISTA Center https www isi edu centers vista overview seeks applicants for a Research Programmer I position in the field of natural language processing NLP VISTA NLP researchers work on grant funded research in areas such as information extraction machine translation and information retrieval We are a fast paced deadline driven research environment focused on creating robust intelligent systems that succeed when applied to real world problems and data As an academically situated institute we encourage development of and contributions to open source projects Examples of current research projects include Creation of a new open source information extraction toolkit to enable reasoning and experimentation using multiple document interpretations Automatic extraction of causal knowledge from varied information sources such as databases news articles reports etc Improving cross language information retrieval for lower resourced languages by improving machine translation and text search in low data scenarios Applications of language technology to diverse problems such as detecting cyberattacks assisting in disaster relief and providing aids to human reasoning Successful candidates will have strong programming skills interest or experience in natural language processing research and machine learning and be passionate about building NLP systems through innovation and experimentation Job duties include Working with researchers to design and implement new NLP components and prepare presentations and publications Developing infrastructure for cleaning and processing data and running experiments to evaluate system performance Performing error analysis and suggesting and implementing improvements Transitioning research systems by packaging them as microservices Testing debugging and hardening complex pipelines of NLP components Basic Qualifications Master’s degree in computer science or a related field Expertise in Python preferred or Java Preferred Qualifications Experience participating in the research process in an academic setting Experience applying machine learning to NLP problems Experience with toolkits such as TensorFlow PyTorch or Keras The University of Southern California values diversity and is committed to equal opportunity in employment Minimum Education Master s degree Combined work experience and education as equivalent Minimum Experience 1 year Minimum Field of Expertise Demonstrated creativity and innovation in solving conceptual programming problems Competent to work independently on complex programming | Natural Language Processing |
| 3 | Siri Natural Language Processing Scientist Engineer | Summary Posted Jan 23 2019 Weekly Hours 40 Role Number 200010533 People with passion can change the world The launch of Siri was a defining moment in the history of Artificial Intelligence Hundreds of millions of people now use Siri to send a message play their favourite song or even take a selfie Now imagine what you could do here at Apple At Apple we re driving a new revolution in the way people and machines interact We are looking for a creative Senior Applied Scientist to own the development of new algorithms for implementing conversational dialogue with the overall goal of making Siri more intelligent Our team is developing the next generation of human machine interaction The team includes renowned academics top software engineers and experienced machine learning practitioners If you are interested in combining your NLP expertise with cutting edge machine learning working alongside top quality software engineers then come and join us We are interested in both recent graduates and candidates with a few years experience We have access to excellent resources including huge compute grids top quality machine learning tools and large quantities of data We work together to push the boundaries of artificial intelligence with a single aim to make a real difference to the lives of the hundreds of millions of Siri users Key Qualifications Understanding of standard NLP models and ability to implement them essential Sound understanding of the basics of machine learning essential Good software engineering skills essential Experience with large scale machine learned systems desired Publications in top tier NLP and or machine learning conferences desired Description Working as part of an extraordinary team including world renowned academics top software engineers and expert machine learning practitioners we are passionate about applying groundbreaking techniques to conversational dialogue Siri processes more than a billion requests every week so you will enjoy implementing machine learning at scale and you ll take on all the complexities involved in taking research work through to production You will love the state of the art resources at Apple Huge compute grids top quality machine learning tools and large quantities of data will help you improve user facing features Investigating new NLP models and prototyping solutions within the Siri system The job will involve data preparation engineering NLP machine learned models at scale and contributing to the reporting of scientific results The overall goal is to make Siri more intelligent There are many difficult problems for us to solve so we re keen to take on new ideas and ways of thinking If this is you we d love to hear from you Education Experience MSc or PhD in Machine Learning and Statistical Natural Language Processing or equivalent practical experience | Natural Language Processing |
| 4 | NLP and Machine Learning Graduate | 25 40 an hour Mei is a unique messaging app www textmei com that analyzes text messages and give users intelligence on their texting relationships We combine data and machine learning to create language processing algorithms that give actionable intelligence to our users Responsibilities and Duties This position is a unique opportunity to gain hands on experience in natural language processing understanding and exposure to deep learning and neural networks We are looking for a bright recent graduate who will help develop and refine a wide range of prediction algorithms using python and explore open source tools in natural language processing You will conduct research and help implement applications that may be incorporated into our app so a strong programming background is a must This learning opportunity for a recent grad requires you to work in our office in Brooklyn NY Qualifications and Skills Major or equivalent coursework in computer science engineering or NLPProgramming experience with PythonFamiliarity with SQLGood communication and writing skills as you will be working closely within a small teamStrong research experiencePreferred but not required Applied experience using deep learning TensorflowExperience with DjangoFamiliarity with NLP libraries word embeddingsLong cover letter is not required but give us a sense of why you’re interested in NLP machine learning and what you have already done to demonstrate your interest Please email this with resume to jobs at textmei com Job Types Full time Flexible HoursSalary 25 00 to 40 00 hour depending on experienceJob Type Full timeSalary 25 00 to 40 00 hourExperience Machine Learning 1 year Preferred Location New York NY Required Language English Required Work authorization United States Required | Natural Language Processing |
| 5 | AI Research Natural Language Processing NLP Scientist | Job Type Full time Department AI Platform and Research JD AI Research is looking for top notch research scientists to join Silicon Valley Labs It s an exciting opportunity to join our early stage team to work on a wide variety of research areas in natural language processing including natural language understanding natural language generation spoken dialog systems question answering and machine reading comprehension Responsibilities Define ambitious relevant AI research problems and criteria for evaluating success Build state of the art solutions by designing algorithms and carrying out experiments Work with engineering teams when appropriate to get solutions into use Publish in top notch conferences Qualifications Ph D or master s degree in computer science NLP related field Ability to communicate collaborate with other researchers engineers including our team members in China ability to speak Chinese is NOT required Ability to implement experiments using scripting languages Python Perl bash and tools written in C C Experience working with deep learning frameworks Tensorflow Pytorch Torch Mxnet CNTK etc and related tools in each special field Publication record in top NLP conferences ACL NAACL EMNLP NIPS SIGIR WWW etc is a must About JD AI Research JDAIR JD AI Research JDAIR focuses on the continuous innovation and optimization of algorithms to meet our developing business needs Significant areas of research include natural language processing spoken dialog systems computer vision and machine learning including deep learning and reinforcement learning JDAIR has established research centers in Beijing and Silicon Valley and we are in the process of opening an additional research center in Europe JD com is an Equal Opportunity Employer making decisions without regard to race color religion creed sex sexual orientation gender identity marital status national origin age veteran status disability or any other protected class | Natural Language Processing |
| 6 | Analytical Linguist Google AI | Note By applying to this position your application is automatically submitted to the following locations Mountain View CA USA New York NY USA Minimum qualifications PhD or Master’s degree in Linguistics or Computational Linguistics with experience in core areas such as semantics syntax morphology phonetics phonology and or discourse Experience with scripting languages working in a Linux environment Experience developing projects or curricula from concept to completion and collaborating internationally with multiple partners on multi quarter projects Preferred qualifications Multilingual speaker with 2 years experience in NLP research or related fields Familiarity with experimental design research methodologies qualitative and quantitative analysis Familiarity with Python C or other programming languages Independent worker with the ability to effectively operate with flexibility in a fast paced constantly evolving team environment Team player with exceptional interpersonal and solution oriented attitude Creative thinker with strong problem solving and analytical skills and excellent written and verbal communication skills About the job Analytical Linguists work across Google to drive improvements in quality classification information structure and natural language understanding and generation As an Analytical Linguist you will work both on complex projects spanning multiple products groups and disciplines and on tightly focused efforts to produce specific product components or answer specific research questions Analytical Linguists work in many different areas and arrive with a wide variety of skills—your specialization might involve natural language processing and understanding phonology phonetics syntax semantics ontology program management human subject research experimental design statistics corpus linguistics large scale data acquisition or any combination This team is part of some of the most groundbreaking and exciting work at Google It s our goal to use insights from linguistics and related fields to constantly improve our products There is always more information out there and the Research and Machine Intelligence team has a never ending quest to find it and make it accessible We re constantly refining our signature search engine to provide better results and developing offerings like Google Instant Google Voice Search and Google Image Search to make it faster and more engaging We re providing users around the world with great search results every day but at Google great just isn t good enough We re just getting started Responsibilities Work closely with researchers and engineers by providing linguistic expertise and direction for language specific projects and or dialogue analysis modeling Train and or evaluate Natural Language Processing NLP or dialogue systems and propose solutions Propose and run research experiments around linguistic phenomena Create annotation guidelines and instructions recruit hire and manage linguistic experts Monitor data acquisition and curation design quality control methodology experiments implementation and improvements At Google we don’t just accept difference—we celebrate it we support it and we thrive on it for the benefit of our employees our products and our community Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status We also consider qualified applicants regardless of criminal histories consistent with legal requirements See also Google s EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation please let us know by emailing candidateaccommodations google com | Natural Language Processing |
| 7 | IBM Research AI Residency Program | Job Description IBM Research AI Residency Program The IBM Research AI Residency program is a 12 month program that provides opportunity for scientists engineers domain experts and entrepreneurs to conduct innovative research and development on important and emerging topics in Artificial Intelligence The program aims at creating and investigating novel approaches in AI that progress capabilities towards significant technical and real world challenges AI Residents will work closely with IBM Research scientists and are expected to fully complete a project within the 12 month residency The results of the project may include publications in top AI conferences and journals development of prototypes demonstrating important new AI functionality and fielding of working AI systems As part of the application process candidates will be asked to submit an 500 word statement of research interest and goals Topics of focus include Deep Learning Artificial Neural Networks Transfer Learning Few Shot One Shot Learning Neural Architecture Search Generative methods Reinforcement Learning Natural Language Processing and Understanding Question Answering Reading and Listening Comprehension Dialog Multi modal Perception Vision Speech Audio Knowledge and Reasoning Knowledge Graph Embeddings Neural Reasoning Learning Reasoning Trust in AI Causal Modeling Explanability Fairness Robustness and Scaling Distributed Learning Mixed Precision Computation HW Acceleration AI Quantum Computing When Starting dates as early as June 1 2019 AI Residencies are 12 months in duration Where IBM T J Watson Research Center Yorktown Heights NY IBM Research AI and MIT IBM Watson AI Lab Cambridge MA Deadline for applying Application deadline March 31 2019 Required Technical and Professional Expertise Experience in creating and leveraging AI techniques such as machine learning natural language processing and knowledge and reasoning Experience with machine learning tools and frameworks such as Theano Tensorflow Caffe Torch Expertise and experience in programming in one or more of these languages Java Python C C Advanced skill level in solving analytical problems using rigorous and quantitative approaches Preferred Tech and Prof Experience Computer Science Applied Mathematics or related technical fields Advanced skill level in creating and leveraging AI techniques such as machine learning deep learning natural language processing vision speech audio knowledge and reasoning causal modeling explanability fairness robustness distributed learning and HW acceleration Experience communicating your research in technical communities such as publications in NIPS CVPR ICML ICLR IJCAI AAAI KDD or similar Experience analyzing large scale data from a variety of sources EO Statement IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability age or veteran status IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status | Natural Language Processing |
| 8 | AI Research Engineer – Natural Language Processing | Title AI Engineer – Natural Language Processing Company Samsung Research America Lab Artificial Intelligence Center Location Mountain View CA Lab Summary Samsung is working towards a vision of providing world class AI services on its industry leading hardware platforms like the Galaxy phones and home appliances like the smart refrigerators and TVs smart washers and dryers etc Real time AI services on these connected devices will enable users to interact with devices more naturally via spoken dialog visual interaction continuous learning and big data analysis Position Summary We are looking for candidates interested in extending our capabilities on cross lingual NLP and enabling novel NLP technologies The ideal candidate will have strong software engineering skills They should also have background in NLP systems experience of deep learning and experience working with massive amounts of data Responsibilities Include Develop prototypes and real world applications and improve the performance with various technologies Integrate the resulting system software into existing platform with high quality implementation Experience Requirements Master or Ph D in Computer Science or related field R D experience in natural language processing machine learning and related fields R D experience in information extraction and text mining technologies Hands on experience of deep learning technologies and familiar with state of the art deep learning toolkits e g TensorFlow PyTorch Keras etc Experience in programming languages C Python Java etc Strong problem solving skills Good communication and team working skills Experience Preferred Experience in natural language processing information extraction text mining technologies and related fields Experience in a front end language like Elm JavaScript Objective C or Swift Experience in at least one front end web development framework such as React Angular Rails Django Vue js Experience in HTTP APIs and RESTful web services Understanding of web browser APIs and behavior Samsung is an EEO Veterans Disabled LGBT employer We welcome and encourage diversity as we strive to create an inclusive workplace | Natural Language Processing |
| 9 | Software Engineer Machine Learning Natural Language Processing NLP | Minimum Qualifications BA BS degree in Computer Science or related technical field or equivalent practical experience 2 years of work or educational experience in Machine Learning or Artificial Intelligence 1 year of professional software development experience Experience with one or more general purpose programming languages including but not limited to Java C C or Python Preferred Qualifications MS or PhD degree in Computer Science Artificial Intelligence Machine Learning or related technical field Experience with one or more of the following Natural Language Processing text understanding classification pattern recognition recommendation systems targeting systems ranking systems or similar To apply send your resume to careers kikatech com | Natural Language Processing |
In [41]:
X['gender_breakdown'] = X['job_class']
In [42]:
X.job_class.unique()
Out[42]:
array(['Natural Language Processing', 'Text Mining',
'Pattern Recognition', 'Machine Learning', 'Text Analytics',
'Apache Spark', 'Speech Recognition', 'Neural Networks'],
dtype=object)
In [43]:
X.loc[X['gender_breakdown'] == 'Natural Language Processing', 'gender_breakdown'] = 1
X.loc[X['gender_breakdown'] == 'Text Mining', 'gender_breakdown'] = 1
X.loc[X['gender_breakdown'] == 'Text Analytics', 'gender_breakdown'] = 1
X.loc[X['gender_breakdown'] == 'Speech Recognition', 'gender_breakdown'] = 1
X.loc[X['gender_breakdown'] == 'Pattern Recognition', 'gender_breakdown'] = 0
X.loc[X['gender_breakdown'] == 'Machine Learning', 'gender_breakdown'] = 0
X.loc[X['gender_breakdown'] == 'Apache Spark', 'gender_breakdown'] = 0
X.loc[X['gender_breakdown'] == 'Neural Networks', 'gender_breakdown'] = 0
In [44]:
X.sample(5)
Out[44]:
| title | job_description | job_class | gender_breakdown | |
|---|---|---|---|---|
| 2305 | Business Intelligence Architect for Digital Transformation | 135 000 165 000 a year We are looking for an enthusiastic self driven and experienced Business Intelligence Architect to lead solution development for an enterprise wide digital transformation strategy centered on modern analytical and data science practices tools and techniques The successful candidate will have demonstrated experience in business intelligence best practices organizing data and information technology for enterprise business intelligence reporting and analytics developing strategies frameworks or roadmaps for comprehensive data analytics infrastructure experience with project management for federal programs leading or participating in software or systems development projects using DevOps and or Agile SCRUM methods and be a superb communicator capable of developing and delivering oral and written products to both strategic and technical audiences The successful candidate will also demonstrate ability to envision promote manage and execute organizational transformation either in a leadership role or as part of a larger team The Qualifying Candidate must have at least 6 years’ experience in a requisite technical background with at least 4 years’ experience developing enterprise level analytics data or IT architecture solutions in the context of modern analytical practices tools and techniques The Qualified Candidate must have experience in software engineering methods delivering analytical solutions developing modern system architectures and understanding project management principles in an Agile oriented system Lastly the qualifying candidate must be familiar with GovCloud and associated technologies The Ideal Candidate will be a proven dynamic leader with experience visioning developing and leading digital transformation for complex organizations with relatively immature data analytics capabilities The Ideal Candidate will be an expert in modern advanced analytical techniques in data science big data operations research and computer science The Ideal Candidate will understand how to employ and leverage modern infrastructure cloud on premise and or hybrid to develop flexible generalizable analytical workflows And the Ideal Candidate will be superb communicator strategic thinker and capable of distilling complex information into decision generating insight for senior government leaders Responsibilities Serve as primary interface between JDSAT and client’s Chief Digital Officer in all matters pertaining to client’s enterprise analytics strategy Assist JDSAT and client in project management of enterprise analytics strategy including development and maintenance of project management artifacts tools reports etc Collaborate with client to identify develop and document all requirements related to client’s enterprise analytics strategy Collaborate with client and project personnel to shape vision and strategy for enterprise analytics services Assist client in identifying key performance measures needed to assess evaluate and continuously improve its enterprise analytic strategy Assist client in identifying gaps shortfalls impediments and critical challenges that must be addressed to achieve enterprise analytics vision and develop plans approaches and methods to overcome challenges Assist client in analyzing and evaluating investments related to enterprise analytics including prioritization of resources related to personnel training IT infrastructure data management and analytical tools or platforms Assist client in developing and managing a transformation plan This may include development of frameworks roadmaps plans of action or similar strategic plans May also include development of transformation teams needed to execute transformation as defined by the enterprise analytics strategy Assist client in developing systems and software development teams to implement capabilities in accordance with its enterprise analytics strategy Assist client in promoting and championing its enterprise analytic strategy to create and maintain momentum for organizational change Assist client in analyzing evaluating and planning for resources to build maintain and service its enterprise analytics strategy Requirements Required Skills and Abilities Bachelor’s degree or higher in a technical field relating to enterprise analytics data or IT architecting or similar including data science computer science engineering data engineering information science operations research or similar For backgrounds not directly related to enterprise analytics architecture relevant hands on experience may be required Minimum 6 years’ experience in one of the above fields with at least 4 years’ experience developing enterprise level analytics data or IT architecture solutions in the context of modern analytical practices tools or techniques Demonstrated experience in managing and or directly employing analytical solutions in data science computer science statistics machine learning operations research or similar domain Candidate is not required to have mastered direct delivery of all possible techniques but must demonstrate understanding of these techniques and what is required in terms of enterprise architectural services to employ them Demonstrated understanding of Knowledge Management principles including content management taxonomies and feedback loops Demonstrated understanding of modern analytical and information technology infrastructure tools and platforms including how to employ implement and maintain cloud based on premise or hybrid solutions Candidate must be able to understand how and when to employ solutions and be able to articulate the arrangement of these technologies to support an enterprise analytics strategy Demonstrated understanding of federal government’s migration to GovCloud Demonstrated understanding of modern software and system engineering and development practices such as DevOps and Agile Candidate must demonstrate understanding of how these teams are formed managed and executed to enable candidate to assist client in employing such capabilities as part of its enterprise analytics strategy Excellent knowledge of enterprise change management project management and knowledge management practices Superb and dynamic communicator capable of building strong relationships and conveying information to strategic and technical audiences Superb and dynamic critical problem solving skills and ability to vision strategic solutions Possess or be able to obtain an active SECRET level security clearance Desired Skills and Abilities Master’s degree or higher in a technical field relating to enterprise analytics data or IT architecting or similar including data science computer science engineering data engineering information science operations research or similar Minimum 10 years’ experience in one of the above fields with at least 6 years’ experience developing enterprise level analytics data or IT architecture solutions in the context of modern analytical practices tools or techniques Demonstrated delivery using advanced analytical techniques such as machine learning artificial intelligence predictive analytics or similar Demonstrated delivery of analytical decision support using modern infrastructure commonly referred to as “big data” such as Apache Spark Hadoop H2O AI MAPR converged data platform Amazon Web Services Microsoft Azure Cloud or technologies related to this ecosystem Experience as a consultant especially in the context of contracting for large complex federal agencies Experience with and understanding of Department of Defense organization and culture Experience with military healthcare system Experience with Department of Defense readiness concepts and challenges Benefits At JDSAT Inc you will be joining a collaborative and energetic team with excellent career development opportunities You will sharpen your knowledge on challenging projects with a great deal of autonomy while operating alongside other talented Operations Research Data Science and Management professionals We like to cultivate our talent and promote from within by offering a variety of leadership and advancement opportunities throughout the company We offer above market salaries a competitive benefits package a commitment to achieving the right work life balance and meaningful work to improve our employees and our clients JDSAT Inc is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to race religion color national origin gender gender identity age sexual orientation status as a protected veteran among other things or status as a qualified individual with a disability | Apache Spark | 0 |
| 3597 | Principal Data Scientist | We are seeking an experienced data scientist who is passionate about data science and machine learning to join a growing team As a Data Scientist you will process massive amounts of data and build advanced machine learning models to solve a variety of complex business problems such as recommender systems classification and natural language generation NLG As a Data Scientist you will be responsible for Defining AI research problems and criteria for evaluating success Processing massive amounts of structured and unstructured data Building deployable machine learning models and scalable NLP platforms that can support real time solutions for recommendation Q A sentiment analysis NLG etc Researching new machine learning solutions for complex business problems Communicating findings Qualifications Master or PhD degree in Computer Science or relate field with a focus on machine learning 3 years experience in developing and training machine learning models or deep neural networks 2 years experience in general NLP tasks and techniques such as parsing sequence labeling entity linking relation extraction etc Experience in dealing with large scale unstructured text data Experience in machine learning packages Expertise in NLP methods ML experience with different supervised and unsupervised learning algorithms | Neural Networks | 0 |
| 1464 | AV1 Daala Research Intern Summer 2019 | Temporary Internship Mozilla is hiring Software Engineering Interns into our technical teams throughout the world Our headquarters are based in the Bay Area but we also have opportunities at our offices in Portland and Toronto We are engineers designers makers and problem solvers We work in the fishbowl known as the open source community with a clear focus on making the Web better Working with us you ll help build interesting new features and improvements in Firefox To be part of the team we ask that you be technically curious a capable and always interested in learning more programmer and excited to be moving the Mozilla mission https www mozilla org en US mission forward Mozilla isn t just a great place to work it s an experience you ll carry with you throughout your career As part of our internship program you ll have the opportunity to be mentored one on one by a talented and experienced developer to impact the projects you ll collaborate on and to never be bored Ever From the passionate people you ll learn from to the chances you ll have to make the Web a better place your time with Mozilla will be unlike any other Below is a small snapshot of the work we do to give you an idea about some of the big things you could do at Mozilla Research Intern Mozilla is looking for PhD or motivated MS level interns to take on various projects within our Research Group Past interns have done substantial work in Language Design Compiler Optimizations Garbage Collection Static Dynamic Analysis Record and Replay Debugging Parallel Algorithms Graphics Video Codecs and Web Application Optimization Your work will be highly visible and fully open just like the rest of Mozilla We ve put together a list of possible research topics for this particular term but we d love it if you have research ideas of your own to bring to the group As always we strongly encourage our research interns to submit their results to relevant academic conferences To apply submit your resume via the online form located below Aside from the general qualifications listed below each project has its own list of preferred qualifications As a Machine Learning Intern at Mozilla potential projects you will work on include AV1 Daala Intern Mountain View CA Mozilla is looking for PhD or motivated MS level interns to work on the next generation of video codecs As a Video Codec Research Intern you will design implement test cutting edge encoder algorithms for the AV1 video codec You will work on the Rust AV1 Encoder rav1e project a clean room implementation of the AV1 video codec specification The goal is to produce the best in class encoder across a variety of uses including video on demand live streaming and interactive video conferencing Basic Qualifications Currently enrolled in a Master s or PhD program in Computer Science Computer Engineering or related technical discipline with a focus on software development Must be currently enrolled in university with graduation dates starting December 2019 and onward or have graduated from a Coding Academy within last year Preferred Qualifications Rust C C Unix Linux SIMD assembly General Qualifications Experience in systems software and algorithms Ability to quickly learn and be effective within a large code base Experience with writing and publishing academic papers Interest in web technology Excellent research and writing skills Ability to interpret large amounts of data multi task and produce results independently and collaboratively in a team Note that this is a long wishlist of qualifications if you feel you have some but not all of these skills but you are interested please do apply anyway Please include a cover letter describing your research topic and or dissertation topic and relevant project choice area of interest About Mozilla Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled When you work at Mozilla you give yourself a chance to make a difference in the lives of Web users everywhere And you give us a chance to make a difference in your life every single day Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online We are an equal opportunity employer and value diversity We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status Level I1 LI NG1 | Machine Learning | 0 |
| 2779 | Applied Scientist Alexa | PhD in Math Statistics Speech Recognition Signal Processing Physics etc OR 2 years of experience as a data scientist research scientist or machine learning engineer coupled with a masters degree in one of the aforementioned fields OR 4 years experience as a data scientist research scientist or machine learning engineer Knowledge of computer science fundamentals including but not limited to object oriented design data structures algorithm design problem solving and complexity analysis Experience with at least one major data science language Python R MATLAB etc and at least one major production language Java C etc We are the Alexa Communications group and our mission is to bring people closer together We develop systems for a wide range of communication use cases and modalities Our charter spans all conceivable communication situations and environments ranging from announcements to family members that dinner is ready to business calls with clients We are passionate about using technology to make interpersonal communication simpler and more effective We are building a new team in the Comms A I organization focused on the improvement of automatic speech recognition Are you an experienced scientist who has shipped code in production systems or are you a software engineer with a strong background in research Are you passionate about pushing the state of the art for the good of the customer Are you a scrappy builder who loves to get stuff done If so we d love to speak with you In this role you will own the production machine learning models behind Alexa Communication You will be responsible for the model s performance both for new product features and for existing features You will also be expected to pursue one or more strategic research projects including the use of novel machine learning techniques or technologies To be successful in this role you must possess a startup mentality and you must be prepared to go above and beyond for the customer | Speech Recognition | 1 |
| 2467 | Internship opportunities for Ph D students Software Engineer Speech | Internship Artificial intelligence AI is dramatically transforming people’s work and life now Speech technology is in the center of the transform Speech recognition and text to speech TTS are essential pieces to enable intelligent agent in the AI era Microsoft’s mission is to build human parity TTS voices for as many languages in the world and drive end to end user experience and market impact with the technology we built Pushing the boundary of speech technology in Microsoft products including Cortana Windows XiaoIce Skype and cognitive services in multiple product lifecycles is an exciting undertaking and a continuous effort to push on boundaries Do you want to work on a meaningful and impactful project and make a difference Are you willing to learn from others and open to new ideas Do you want to support others to succeed and operate in a highly collaborative and global environment If this sounds like you Microsoft would like to invite you to come join us as you are where you can find more than just a job Read on to learn more about opportunities and apply online Applications to these opportunities are considered for all available Ph D Speech intern roles including the ones described below To be considered for an internship you need to be enrolled full time as a student majoring in an applicable field Responsibilities We are looking for a motivated self driven software development engineer scientist to join our mission to change the world with TTS technology Advance the state of the art of TTS technology Improve the speech output quality in terms of naturalness expressiveness Provides good guidance on core speech output algorithm investigation Work on collaborations with Microsoft Research Drive the speech output technology roadmap for Microsoft Qualifications MSc or PhD in CS EE with focus in one or more of Speech Applications or equivalent experience Effective communication skills and ability to work in a collaborative environment Full understanding of the tradeoffs for decisions made in speech output Deep Understanding in at least one related below a HMM Speech Synthesis Guided Unit Selection Voice Adaptation Prosody Modeling b Natural language generation or understanding c Deep learning on NLP speech for end to end neural TTS technology d Speech recognition or speech signal processing Strong software development skills aptitude for process design Microsoft is an equal opportunity employer and supports workforce diversity Microsoft is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex including pregnancy sexual orientation or any other characteristic protected by applicable laws regulations and ordinances We also consider qualified applicants regardless of criminal histories consistent with legal requirements If you need assistance and or a reasonable accommodation due to a disability during the application or the recruiting process please send a request via the Accommodation request form Benefits perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work | Speech Recognition | 1 |
In [45]:
# to save for later
df1 = X
I've sufficiently cleaned the data, and analyzed it for balance so that it is prepped for unsupervised, and supervised analysis. This will help me understand what language might be common in the postings, what topics are common and how they might, or might not correlate. Let's take a look...¶
Unsupervised Approach¶
I'll use the Latent Dirichlet Allocation method first, and then use it with bigrams and trigrams with a supervised approach later for comparison. I will evalute for coherence, and tune the models.
In [46]:
#First step, tokenizer.
parser = English()
def tokenize(text):
lda_tokens = []
tokens = parser(text)
for token in tokens:
if token.orth_.isspace():
continue
elif token.like_url:
lda_tokens.append('URL')
else:
lda_tokens.append(token.lower_)
return lda_tokens
In [47]:
#Now, we'll lemmatize.
nltk.download('wordnet')
def get_lemma(word):
lemma = wn.morphy(word)
if lemma is None:
return word
else:
return lemma
from nltk.stem.wordnet import WordNetLemmatizer
def get_lemma2(word):
return WordNetLemmatizer().lemmatize(word)
[nltk_data] Downloading package wordnet to [nltk_data] /Users/tiffanyfrench/nltk_data... [nltk_data] Package wordnet is already up-to-date!
I have added some stopwords here, but have been mindful not to add too many, since it began to significantly affect the performance of the models I ran. The XGBClassifier I used to test my understanding of the unsupervised results saw as much as 20% loss in score as a result of added stopwords.¶
In [48]:
#nltk.download('stopwords')
#en_stop = set(nltk.corpus.stopwords.words('english'))
#stop_words = en_stop.union(set(['machine','business','analytics','learning','technology',
#'system', 'science', 'research', 'analysis', 'experience',
#'customer', 'include', 'plant', 'clerkship', 'language',
#'university', 'google', 'hadoop', 'spark', 'apache', 'microsoft',
#'ai', 'ml', 'nlp', 'speech', 'natural', 'cloud',
#'aws','ml', 'nlp', 'ai', 'amazon']))
In [49]:
#nltk.download('stopwords')
en_stop = set(nltk.corpus.stopwords.words('english'))
stop_words = en_stop.union(set(['machine','business','analytics','learning','technology',
'system', 'science', 'research', 'analysis', 'experience',
'customer', 'include', 'plant', 'clerkship', 'language',
'university', 'google', 'hadoop', 'spark', 'apache', 'microsoft',
'http']))
In [50]:
def prepare_text_for_lda(text):
tokens = tokenize(text)
tokens = [token for token in tokens if len(token) > 4]
tokens = [token for token in tokens if token not in stop_words]
tokens = [get_lemma(token) for token in tokens]
return tokens
In [51]:
import random
text_data = []
for text in X:
for i in range(len(X)):
tokens = prepare_text_for_lda(X['job_description'][i])
if random.random() > .99:
print(tokens)
text_data.append(tokens)
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'climb', 'balance', 'speech', 'clarity', 'speech', 'recognition', 'write', 'expression', 'require', 'sensory', 'ability', 'reasonable', 'accommodation', 'enable', 'individual', 'disability', 'perform', 'essential', 'duty', 'responsibility', 'light', 'ventilate', 'working', 'temperature', 'control', 'conditioning', 'subject', 'emotionally', 'upset', 'resident', 'family', 'member', 'willing', 'beyond', 'normal', 'working', 'hours', 'weekend', 'holiday', 'necessary', 'subject', 'exposure', 'fumes', 'airborne', 'particle', 'toxic', 'caustic', 'chemical', 'subject', 'exposure', 'infectious', 'waste', 'disease', 'conditions', 'include', 'exposure', 'hepatitis', 'virus', 'within', 'guideline', 'standard', 'precaution', 'appropriate', 'ergonomic', 'personal', 'safety', 'equipment', 'provide', 'need', 'essential', 'function', 'testing', 'require', 'description', 'state', 'imply', 'duty', 'perform', 'employee', 'occupy', 'position', 'employee', 'require', 'follow', 'relate', 'instructions', 'perform', 'relate', 'duty', 'request', 'subject', 'applicable', 'federal', 'state', 'local', 'standard', 'family', 'nursing', 'schedule', 'weekly', 'hours', 'shift', 'shift', 'unite', 'state', 'america'] ['fund', 'postdoctoral', 'position', 'available', 'laboratory', 'rachael', 'seidler', 'within', 'department', 'apply', 'physiology', 'kinesiology', 'florida', 'collaborative', 'project', 'motion', 'investigate', 'neural', 'control', 'mobility', 'older', 'adult', 'member', 'collaborative', 'clark', 'manini', 'ferris', 'chris', 'world', 'leading', 'institution', 'florida', 'provide', 'exceptionally', 'supportive', 'environment', 'support', 'include', 'integrate', 'state', 'computer', 'exceptional', 'student', 'staff', 'network', 'world', 'renowned', 'scientist', 'neuromotor', 'behavior', 'laboratory', 'direct', 'seidler', 'interdisciplinary', 'productive', 'dynamic', 'group', 'student', 'staff', 'research', 'neurocognitive', 'control', 'movement', 'doctoral', 'researcher', 'study', 'neural', 'correlate', 'walking', 'predictor', 'mobility', 'decline', 'young', 'older', 'adult', 'candidate', 'expect', 'collaboratively', 'collect', 'analyze', 'prepare', 'manuscript', 'publication', 'participate', 'national', 'international', 'level', 'meeting'] ['summary', 'post', 'number', '200003026', 'mobile', 'device', 'drive', 'world', 'enable', 'class', 'application', 'passionate', 'enable', 'unique', 'animoji', 'game', 'imagine', 'countless', 'possibility', 'power', 'artificial', 'intelligence', 'video', 'engineering', 'dedicate', 'provide', 'hardware', 'acceleration', 'using', 'proprietary', 'apple', 'neural', 'engine', 'enable', 'power', 'performance', 'execution', 'workload', 'success', 'result', 'talented', 'people', 'working', 'environment', 'cultivate', 'creativity', 'partnership', 'cross', 'functional', 'collaboration', 'elements', 'together', 'apple', 'amaze', 'environment', 'motivate', 'people', 'greatest', 'life', 'design', 'generation', 'revolutionary', 'apple', 'product', 'qualification', 'passion', 'developing', 'optimize', 'compiler', 'modern', 'architecture', 'working', 'knowledge', 'compiler', 'architecture', 'front', 'middle', 'optimization', 'scheduling', 'register', 'allocation', 'generation', 'neural', 'network', 'inference', 'dedicate', 'level', 'programming', 'expertise', 'excellent', 'problem', 'solving', 'debug', 'skill', 'prove', 'track', 'record', 'building', 'quality', 'production', 'software', 'excellent', 'communication', 'collaboration', 'skill', 'description', 'develop', 'compiler', 'accelerate', 'application', 'apple', 'product', 'architect', 'develop', 'compiler', 'apple', 'proprietary', 'neural', 'engine', 'accelerator', 'architecture', 'enable', 'inference', 'network', 'architecture', 'emphasis', 'performance', 'power', 'bring', 'hardware', 'silicon', 'support', 'compiler', 'hardware', 'feature', 'bringing', 'compiler', 'production', 'quality', 'enable', 'range', 'application', 'internal', 'client', 'party', 'developer', 'evaluate', 'exist', 'hardware', 'block', 'closely', 'platform', 'architecture', 'definition', 'hardware', 'feature', 'hardware', 'specification', 'review', 'micro', 'architecture', 'design', 'understand', 'functional', 'performance', 'goal', 'design', 'education', 'masters', 'degree', 'higher', 'computer', 'equivalent', 'field'] ['master', 'degree', 'computer', 'statistics', 'engineering', 'mathematics', 'relate', 'field', 'equivalent', 'education', 'likely', 'following', 'doctorate', 'mater', 'bachelor', 'experience', 'programming', 'matlab', 'python', 'similar', 'script', 'language', 'excellent', 'visualization', 'write', 'communication', 'skill', 'translate', 'complex', 'model', 'result', 'layman', 'terms', 'building', 'model', 'audible', 'amazon', 'company', 'leading', 'provider', 'premium', 'digital', 'speak', 'audio', 'information', 'entertainment', 'internet', 'offering', 'customer', 'enhance', 'enrich', 'life', 'every', 'audible', 'scientist', 'member', 'interdisciplinary', 'integral', 'design', 'integration', 'model', 'automate', 'decision', 'making', 'throughout', 'every', 'country', 'empower', 'cutting', 'technique', 'area', 'include', 'limited', 'segmentation', 'acquisition', 'retention', 'engagement', 'product', 'optimization', 'simulation', 'testing', 'evaluation', 'content', 'recommender', 'natural', 'processing', 'voice', 'international', 'translate', 'goal', 'agile', 'insightful', 'create', 'value', 'stakeholder', 'customer', 'deliver', 'findings', 'clear', 'actionable', 'currently', 'looking', 'scientist', 'support', 'ongoing', 'development', 'product', 'vertical', 'candidate', 'expect', 'closely', 'member', 'design', 'development', 'deployment', 'model', 'build', 'cutting', 'technology', 'additionally', 'seeking', 'candidate', 'strong', 'rigor', 'science', 'engineering', 'creativity', 'curiosity', 'great', 'judgment', 'responsibility', 'identify', 'necessary', 'relevant', 'novel', 'source', 'acquiring', 'often', 'means', 'building', 'necessary', 'query', 'import', 'process', 'various', 'company', 'specific', 'interface', 'access', 'shift', 'storage', 'system', 'building', 'relationship', 'stakeholder', 'counterpart', 'world', 'order', 'trust', 'functional', 'relationship', 'provide', 'sustainable', 'sharing', 'information', 'explore', 'occupy', 'large', 'portion', 'attention', 'second', 'nature', 'order', 'deeply', 'understand', 'phenomenon', 'model', 'validity', 'reliability', 'input', 'include', 'limited', 'inspect', 'univariate', 'distribution', 'explore', 'bivariate', 'relationship', 'construct', 'appropriate', 'transformation', 'tracking', 'source', 'meaning', 'anomaly', 'arise', 'model', 'building', 'approach', 'enhance', 'accuracy', 'understanding', 'include', 'statistical', 'modeling', 'mathematical', 'modeling', 'network', 'modeling', 'social', 'network', 'modeling', 'natural', 'processing', 'algorithm', 'genetic', 'algorithm', 'neural', 'network', 'validate', 'model', 'alternative', 'approach', 'expect', 'observe', 'outcome', 'numerous', 'directly', 'indirectly', 'relevant', 'define', 'performance', 'indicator', 'review', 'model', 'peer', 'purpose', 'reducing', 'manage', 'maximize', 'improvement', 'practice', 'implement', 'model', 'initial', 'evaluation', 'computational', 'demand', 'accuracy', 'reliability', 'relevant', 'process', 'integrity', 'source', 'production', 'computational', 'demand', 'accuracy', 'reliability', 'simple', 'scoring', 'process', 'computational', 'demand', 'accuracy', 'reliability', 'model', 'training', 'higher', 'higher', 'frequency', 'production', 'environment', 'operationalization', 'identify', 'stakeholder', 'model', 'score', 'throughout', 'company', 'around', 'world', 'form', 'trust', 'bond', 'understanding', 'phenomenon', 'optimize', 'model', 'output', 'integration', 'practice', 'assure', 'practitioner', 'leaders', 'training', 'proper', 'utilization', 'communication', 'assess', 'proper', 'utilization', 'model', 'management', 'developing', 'sustainable', 'consumable', 'accurate', 'impactful', 'reporting', 'model', 'input', 'model', 'output', 'observe', 'output', 'impact', 'performance', 'indicator', 'scientist', 'discus', 'level', 'detail', 'peer', 'appropriate', 'calibration', 'stakeholder', 'small', 'large', 'group', 'setting', 'expect', 'acquire', 'support', 'partnership', 'personality', 'company', 'include', 'engineering', 'team', 'amazon', 'globally', 'successful', 'scientist', 'expect', 'influence', 'mentor', 'influence', 'mentor', 'peer', 'globally', 'influence', 'mentor', 'partner', 'every', 'country'] ['looking', 'strong', 'hands', 'advance', 'leader', 'drive', 'overall', 'vision', 'direction', 'smartdrive', 'someone', 'team', 'enable', 'company', 'deliver', 'vision', 'responsible', 'setting', 'strategy', 'driving', 'execution', 'analytically', 'enable', 'amplify', 'product', 'services', 'operations', 'cloud', 'vehicle', 'nearly', 'doubling', 'every', 'people', 'platform', 'foundation', 'enabler', 'growth', 'significantly', 'expand', 'looking', 'technologist', 'passion', 'performance', 'team', 'system', 'drive', 'deliver', 'analytically', 'enable', 'software', 'product', 'meaningful', 'difference', 'life', 'others', 'responsibility', 'build', 'manage', 'team', 'leading', 'definition', 'design', 'development', 'platform', 'module', 'enable', 'smartdrive', 'services', 'solution', 'member', 'product', 'leadership', 'organize', 'drive', 'integrate', 'release', 'planning', 'coordination', 'design', 'across', 'platform', 'software', 'firmware', 'hardware', 'team', 'ensure', 'alignment', 'across', 'development', 'scrum', 'team', 'standard', 'platform', 'capability', 'design', 'design', 'build', 'quality', 'performance', 'integrity', 'reliability', 'inspire', 'member', 'document', 'communicate', 'analytic', 'strategy', 'standard', 'design', 'roadmaps', 'diverse', 'audience', 'drive', 'consensus', 'alignment', 'among', 'cross', 'organizational', 'lead', 'regard', 'leverage', 'product', 'identify', 'significant', 'refactoring', 'optimization', 'opportunity', 'advance', 'change', 'drive', 'execution', 'consistent', 'benefit', 'achieve', 'effort', 'develop', 'evaluate', 'advance', 'method', 'quality', 'management', 'model', 'performance', 'scoring', 'management', 'governance', 'effort', 'extend', 'team', 'prototype', 'champion', 'method', 'introduction', 'platform', 'effectively', 'represent', 'analytic', 'capability', 'strategy', 'diverse', 'internal', 'team', 'external', 'partner', 'customer', 'respect', 'model', 'mentor', 'team', 'qualification', 'degree', 'computer', 'relate', 'field', 'equivalent', 'prefer', 'minimum', 'years', 'developing', 'deliver', 'advance', 'enable', 'solution', 'minimum', 'years', 'significant', 'leadership', 'commercial', 'setting', 'demonstrate', 'expertise', 'large', 'scale', 'telematics', 'autonomous', 'autonomous', 'driving', 'computer', 'vision', 'internet', 'things', 'expert', 'advance', 'method', 'neural', 'network', 'inference', 'classifier', 'outlier', 'detection', 'computer', 'vision', 'apply', 'large', 'scale', 'commercial', 'system', 'expert', 'large', 'scale', 'model', 'profiling', 'management', 'designing', 'building', 'large', 'scale', 'system', 'warehouse', 'large', 'scale', 'nosql', 'store', 'distribute', 'compute', 'mongo', 'elasticsearch', 'cassandra', 'large', 'scale', 'throughput', 'environment', 'large', 'scale', 'dimensional', 'warehouse', 'design', 'governance', 'implementation', 'expert', 'apply', 'innovation', 'drive', 'roadmap', 'concurrent', 'feature', 'roadmaps', 'reporting', 'visualization', 'expertise', 'diverse', 'audience', 'internal', 'external', 'demonstrate', 'ability', 'developing', 'advance', 'evolve', 'robust', 'advance', 'roadmap', 'leveraging', 'continuous', 'integration', 'robust', 'build', 'automation', 'preference', 'cross', 'platform', 'stacks', 'containerization', 'spinnaker', 'sonar', 'kubernetes', 'docker', 'pragmatic', 'application', 'cloud', 'base', 'platform', 'azure', 'accelerate', 'value', 'creation', 'demonstrate', 'ability', 'prioritize', 'effort', 'across', 'geographically', 'distribute', 'team', 'ensure', 'task', 'complete', 'schedule', 'demonstrate', 'ability', 'build', 'performance', 'team', 'driving', 'greenfield', 'development', 'move', 'industry', 'excellent', 'communication', 'skill', 'active', 'listening', 'ability', 'present', 'complex', 'idea', 'concise', 'write', 'verbal', 'description', 'easily', 'understand', 'technical', 'technical', 'audience', 'strong', 'people', 'skill', 'communicate', 'colleague', 'simultaneously', 'building', 'credibility', 'rapport', 'modify', 'behavioral', 'style', 'respond', 'need', 'others', 'maintain', 'objective', 'hands', 'leader', 'inspire', 'enable', 'others', 'scientist', 'scientist', 'performance', 'team', 'example', 'organize', 'individual', 'detail', 'orient', 'develop', 'plan', 'necessary', 'team', 'specific', 'goal', 'aggressive', 'problem', 'solver', 'provide', 'creative', 'solution', 'complex', 'situation', 'obtain', 'affect', 'independent', 'worker', 'initiative', 'define', 'prioritize', 'specific', 'goal', 'objective', 'others', 'player', 'works', 'admit', 'strength', 'weakness', 'flexibility', 'improve', 'things', 'smartdrive', 'smartdrive', 'system', 'recipient', 'frost', 'sullivan', 'value', 'leadership', 'award', 'video', 'safety', 'solution', 'give', 'fleet', 'driver', 'unprecedented', 'driving', 'performance', 'insight', 'helping', 'expense', 'life', 'video', 'predictive', 'personalize', 'performance', 'program', 'fleet', 'improve', 'driving', 'skill', 'lower', 'operate', 'costs', 'deliver', 'significant', 'manage', 'service', 'fleet', 'driver', 'access', 'manage', 'driving', 'performance', 'anytime', 'anywhere', 'company', 'rank', 'fast', 'growing', 'company', 'deloitte', 'compile', 'world', 'large', 'storehouse', 'million', 'analyze', 'risky', 'driving', 'event', 'smartdrive', 'system', 'base', 'diego', 'employ', 'people', 'worldwide', 'smartdrive', 'system', 'proud', 'equal', 'opportunity', 'employer', 'veteran', 'disability', 'commit', 'attract', 'retain', 'maximize', 'performance', 'diverse', 'inclusive', 'workforce'] ['company', 'clarifai', 'artificial', 'intelligence', 'company', 'excel', 'visual', 'recognition', 'abstract', 'futuristic', 'solution', 'people', 'today', 'solve', 'world', 'problem', 'believe', 'give', 'company', 'competitive', 'available', 'developer', 'business', 'build', 'product', 'quick', 'inexpensive', 'innovate', 'market', 'fast', 'build', 'better', 'experience', 'teaching', 'accessible', 'using', 'personalize', 'unbiased', 'accurate', 'solution', 'market', 'secure', 'funding', 'back', 'menlo', 'venture', 'venture', 'nvidia', 'qualcomm', 'osage', 'capital', 'capital', 'corazon', 'capital', 'continue', 'succeed', 'people', 'clarifai', 'proud', 'equal', 'opportunity', 'workplace', 'dedicate', 'pursue', 'hire', 'diverse', 'workforce', 'opportunity', 'senior', 'engineer', 'collaborate', 'colleague', 'backend', 'technical', 'vision', 'system', 'train', 'mentor', 'engineer', 'develop', 'skill', 'technical', 'understanding', 'architect', 'services', 'addition', 'improve', 'exist', 'feature', 'reliability', 'flexibility', 'scalability', 'usage', 'increase', 'looking', 'someone', 'comfortable', 'several', 'programming', 'language', 'excite', 'building', 'feature', 'python', 'software', 'design', 'build', 'system', 'people', 'building', 'scaling', 'distribute', 'highly', 'available', 'system', 'backend', 'stack', 'include', 'python', 'postgres', 'docker', 'redis', 'kubernetes', 'worry', 'teach', 'anything', 'impact', 'build', 'system', 'services', 'behind', 'clarifai', 'magic', 'neural', 'network', 'hungry', 'beast', 'requirement', 'working', 'company', 'industry', 'stack', 'include', 'python', 'docker', 'kubernetes', 'postgres', 'cloud', 'linux', 'clarifai', 'project', 'juggling', 'multiple', 'project', 'highly', 'prefer', 'think', 'thrive', 'working', 'environment', 'prefer', 'working', 'distribute', 'great', 'communications', 'skill', 'transparency', 'everyone', 'agile', 'minimum', 'years', 'backend', 'software', 'development', 'eligibility', 'obtain', 'security', 'clearance', 'prefer', 'objective', 'first', 'month', 'start', 'rope', 'familiar', 'backend', 'infrastructure', 'team', 'would', 'comfortable', 'working', 'build', 'help', 'build', 'feedback', 'fresh', 'perspective', 'bring', 'learn', 'distinctive', 'challenge', 'system', 'using', 'identify', 'resolve', 'production', 'within', 'month', 'gain', 'confidence', 'feature', 'development', 'requirement', 'technical', 'accelerate', 'development', 'feature', 'improve', 'management', 'refining', 'permission', 'build', 'measure', 'benchmarking', 'stress', 'tool', 'within', 'month', 'measure', 'optimize', 'facing', 'custom', 'training', 'service', 'design', 'deploy', 'scale', 'distribute', 'storage', 'system', 'various', 'flavor', 'relational', 'mysql', 'postgres', 'nosql', 'redis', 'elasticsearch', 'expand', 'quality', 'assurance', 'infrastructure', 'continuous', 'deployment', 'identify', 'security', 'risk', 'write', 'tool', 'improve', 'security', 'issue', 'closely', 'communicate', 'product', 'manager', 'hire', 'timeline'] ['need', 'strong', 'manager', 'future', 'large', 'distribute', 'computing', 'platform', 'senior', 'program', 'manager', 'search', 'platform', 'responsible', 'platform', 'deliver', 'quality', 'search', 'result', 'monthly', 'active', 'user', 'around', 'world', 'scale', 'continuously', 'increase', 'assumption', 'quickly', 'become', 'irrelevant', 'regularly', 'redesign', 'architecture', 'passion', 'innovation', 'still', 'running', 'quality', 'product', 'user', 'constantly', 'experiment', 'upgrade', 'service', 'serve', 'traffic', 'change', 'wings', 'aircraft', 'still', 'flying', 'responsibility', 'years', 'bring', 'platform', 'level', 'responsibility', 'deliver', 'quality', 'search', 'office', 'user', 'serve', 'billion', 'query', 'month', 'hundred', 'millisecond', 'process', 'complex', 'algorithm', 'petabyte', 'include', 'neural', 'network', 'millisecond', 'empower', 'hundred', 'scientist', 'quickly', 'safely', 'experiment', 'continually', 'improve', 'product', 'empower', 'internal', 'developer', 'hundred', 'thousand', 'answer', 'framework', 'automatically', 'model', 'fpgas', 'provide', 'platform', 'offline', 'processing', 'deliver', 'innovation', 'services', 'power', 'office', 'search', 'solution', 'closely', 'trail', 'blaze', 'prove', 'solution', 'office', 'partner', 'closely', 'azure', 'democratize', 'everyone', 'world', 'seeking', 'strong', 'program', 'manager', 'motivating', 'propensity', 'action', 'strong', 'sense', 'familiar', 'quickly', 'learn', 'deeply', 'algorithmic', 'topic', 'amaze', 'design', 'intuition', 'collaborate', 'influence', 'team', 'across', 'company', 'deliver', 'result', 'looking', 'people', 'fluffy', 'manage', 'expect', 'hands', 'challenge', 'problem', 'working', 'unprecedented', 'scale', 'challenge', 'using', 'build', 'couple', 'reinforcement', 'system', 'learn', 'cutting', 'computer', 'extremely', 'technical', 'extremely', 'drive', 'looking', 'cream', 'inside', 'outside', 'drive', 'result', 'afraid', 'cross', 'boundary', 'coding', 'designing', 'mockups', 'fluently', 'cross', 'barrier', 'technology', 'customer', 'startup', 'mentality', 'closely', 'extremely', 'creative', 'build', 'mentor', 'team', 'power', 'big', 'battleground', 'world', 'today', 'looking', 'someone', 'great', 'strategic', 'sense', 'include', 'maximize', 'product', 'market', 'besides', 'skill', 'leadership', 'communication', 'fundamental', 'skill', 'successful', 'great', 'problem', 'solver', 'task', 'solving', 'problem', 'world', 'solve', 'qualification', 'strong', 'strategic', 'sense', 'great', 'negotiation', 'skill', 'move', 'space', 'player', 'across', 'multiple', 'boundary', 'right', 'decision', 'future', 'controversial', 'today', 'perfect', 'candidate', 'someone', 'strong', 'understanding', 'following', 'strong', 'computer', 'foundation', 'higher', 'degree', 'computer', 'equivalent', 'years', 'industry', 'successfully', 'build', 'large', 'scale', 'distribute', 'computing', 'system', 'software', 'large', 'scale', 'cloud', 'system', 'product', 'modern', 'online', 'services', 'building', 'block', 'microservices', 'container', 'docker', 'kubernetes', 'azure', 'container', 'service', 'knowledge', 'scale', 'latency', 'storage', 'system', 'knowledge', 'office', 'suite', 'product', 'specifically', 'backend', 'system', 'equal', 'opportunity', 'employer', 'qualify', 'applicant', 'receive', 'consideration', 'employment', 'without', 'regard', 'ancestry', 'color', 'family', 'medical', 'leave', 'gender', 'identity', 'expression', 'genetic', 'information', 'marital', 'status', 'medical', 'condition', 'national', 'origin', 'physical', 'mental', 'disability', 'political', 'affiliation', 'protect', 'veteran', 'status', 'religion', 'include', 'pregnancy', 'sexual', 'orientation', 'characteristic', 'protect', 'applicable', 'regulation', 'ordinance', 'consider', 'qualify', 'applicant', 'regardless', 'criminal', 'history', 'consistent', 'legal', 'requirement', 'assistance', 'reasonable', 'accommodation', 'disability', 'application', 'recruit', 'process', 'please', 'request', 'accommodation', 'request', 'benefit', 'perk', 'list', 'depend', 'nature', 'employment', 'country'] ['looking', 'developer', 'like', 'focus', 'development', 'idea', 'develop', 'mobile', 'application', 'rating', 'startup', 'europe', 'latest', 'technology', 'change', 'world', 'responsibility', 'development', 'algorithm', 'mobile', 'platform', 'requirement', 'years', 'experience', 'python', 'programmer', 'knowledge', 'neural', 'network', 'tensorflow', 'computer', 'vision', 'advantage', 'following', 'prefer', 'tensorflow', 'caffe', 'mxnet', 'opennlp', 'excellent', 'education', 'modeling', 'algorithm', 'regression', 'statistics', 'probability', 'theory', 'offer', 'dynamic', 'collaborative', 'space', 'develop', 'shape', 'ambitious', 'competitive', 'success', 'orient', 'remuneration', 'package', 'startup', 'environment', 'flexible', 'hours', 'office', 'close', 'highway', 'expressway']
In [52]:
# Using Gensim to bolster NLTK
In [53]:
dictionary = corpora.Dictionary(text_data)
2019-03-07 19:37:55,736 : INFO : adding document #0 to Dictionary(0 unique tokens: []) 2019-03-07 19:37:55,813 : INFO : built Dictionary(4435 unique tokens: ['accelerate', 'across', 'agile', 'align', 'angular']...) from 143 documents (total 38162 corpus positions)
Gensim is a useful too, complete with the ability to filter out extremes, which is crucial in NLP. Here, I eventually limited it to tokens that appeared in no less that 5 documents, and no more than 15% of documents. This would theoretically filter out words that might be inconsequential to the analysis.¶
In [54]:
dictionary.filter_extremes(no_below=5, no_above=0.15)
2019-03-07 19:37:55,832 : INFO : discarding 3485 tokens: [('across', 50), ('agile', 30), ('angular', 3), ('application', 76), ('apply', 66), ('architecture', 35), ('artificial', 31), ('block', 3), ('blockchain', 2), ('blume', 1)]...
2019-03-07 19:37:55,833 : INFO : keeping 950 tokens which were in no less than 5 and no more than 21 (=15.0%) documents
2019-03-07 19:37:55,837 : INFO : resulting dictionary: Dictionary(950 unique tokens: ['accelerate', 'align', 'asset', 'attitude', 'automation']...)
In [55]:
corpus = [dictionary.doc2bow(text) for text in text_data]
In [56]:
pickle.dump(corpus, open('corpus.pkl', 'wb'))
dictionary.save('dictionary.gensim')
2019-03-07 19:37:55,957 : INFO : saving Dictionary object under dictionary.gensim, separately None 2019-03-07 19:37:56,002 : INFO : saved dictionary.gensim
I used PyLDAViz to topic model from the LDA. This was extremely helpful. Due to later coherence tests (see end of this section) I limited the number of topics to 3, 5 and 10 since coherence drops off significantly at that point.¶
In [57]:
NUM_TOPICS = 3
ldamodel = gensim.models.ldamodel.LdaModel(corpus, num_topics = NUM_TOPICS, id2word=dictionary, passes=15)
ldamodel.save('model3.gensim')
topics = ldamodel.print_topics(num_words=4)
for topic in topics:
print(topic)
2019-03-07 19:37:56,028 : INFO : using symmetric alpha at 0.3333333333333333 2019-03-07 19:37:56,040 : INFO : using symmetric eta at 0.3333333333333333 2019-03-07 19:37:56,043 : INFO : using serial LDA version on this node 2019-03-07 19:37:56,051 : INFO : running online (multi-pass) LDA training, 3 topics, 15 passes over the supplied corpus of 143 documents, updating model once every 143 documents, evaluating perplexity every 143 documents, iterating 50x with a convergence threshold of 0.001000 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:37:56,463 : INFO : -7.427 per-word bound, 172.1 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:37:56,464 : INFO : PROGRESS: pass 0, at document #143/143 2019-03-07 19:37:56,650 : INFO : topic #0 (0.333): 0.005*"strategy" + 0.004*"health" + 0.004*"marketing" + 0.004*"amazon" + 0.004*"person" + 0.004*"search" + 0.003*"recommendation" + 0.003*"feedback" + 0.003*"equipment" + 0.003*"student" 2019-03-07 19:37:56,651 : INFO : topic #1 (0.333): 0.007*"capital" + 0.004*"content" + 0.004*"request" + 0.004*"search" + 0.004*"strategy" + 0.004*"activity" + 0.003*"place" + 0.003*"delivery" + 0.003*"equipment" + 0.003*"user" 2019-03-07 19:37:56,652 : INFO : topic #2 (0.333): 0.005*"health" + 0.005*"sales" + 0.004*"procedure" + 0.004*"http" + 0.004*"person" + 0.004*"global" + 0.004*"healthcare" + 0.004*"enterprise" + 0.004*"search" + 0.004*"resource" 2019-03-07 19:37:56,653 : INFO : topic diff=0.575357, rho=1.000000 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:37:56,966 : INFO : -7.011 per-word bound, 129.0 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:37:56,968 : INFO : PROGRESS: pass 1, at document #143/143 2019-03-07 19:37:57,099 : INFO : topic #0 (0.333): 0.005*"strategy" + 0.005*"marketing" + 0.005*"search" + 0.005*"amazon" + 0.004*"health" + 0.004*"expert" + 0.004*"recommendation" + 0.004*"right" + 0.003*"growing" + 0.003*"advertising" 2019-03-07 19:37:57,102 : INFO : topic #1 (0.333): 0.008*"capital" + 0.006*"content" + 0.005*"equipment" + 0.004*"request" + 0.004*"activity" + 0.004*"place" + 0.004*"english" + 0.004*"guest" + 0.004*"regularly" + 0.004*"search" 2019-03-07 19:37:57,104 : INFO : topic #2 (0.333): 0.006*"sales" + 0.006*"health" + 0.005*"procedure" + 0.005*"person" + 0.005*"healthcare" + 0.005*"clinical" + 0.004*"enterprise" + 0.004*"global" + 0.004*"subject" + 0.004*"resource" 2019-03-07 19:37:57,106 : INFO : topic diff=0.205258, rho=0.577350 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:37:57,612 : INFO : -6.945 per-word bound, 123.2 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:37:57,613 : INFO : PROGRESS: pass 2, at document #143/143 2019-03-07 19:37:57,760 : INFO : topic #0 (0.333): 0.006*"marketing" + 0.006*"search" + 0.006*"strategy" + 0.005*"amazon" + 0.004*"expert" + 0.004*"recommendation" + 0.004*"optimization" + 0.004*"right" + 0.004*"health" + 0.004*"translate" 2019-03-07 19:37:57,761 : INFO : topic #1 (0.333): 0.008*"capital" + 0.006*"content" + 0.006*"equipment" + 0.005*"guest" + 0.005*"request" + 0.005*"english" + 0.005*"place" + 0.005*"activity" + 0.004*"regularly" + 0.004*"frequently" 2019-03-07 19:37:57,761 : INFO : topic #2 (0.333): 0.007*"sales" + 0.007*"health" + 0.006*"person" + 0.006*"procedure" + 0.006*"clinical" + 0.005*"healthcare" + 0.005*"enterprise" + 0.005*"subject" + 0.005*"resource" + 0.004*"global" 2019-03-07 19:37:57,762 : INFO : topic diff=0.165805, rho=0.500000 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:37:58,047 : INFO : -6.904 per-word bound, 119.7 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:37:58,048 : INFO : PROGRESS: pass 3, at document #143/143 2019-03-07 19:37:58,148 : INFO : topic #0 (0.333): 0.006*"search" + 0.006*"strategy" + 0.006*"marketing" + 0.005*"amazon" + 0.004*"optimization" + 0.004*"recommendation" + 0.004*"expert" + 0.004*"translate" + 0.004*"mining" + 0.004*"right" 2019-03-07 19:37:58,150 : INFO : topic #1 (0.333): 0.009*"capital" + 0.007*"content" + 0.007*"equipment" + 0.006*"guest" + 0.005*"english" + 0.005*"request" + 0.005*"place" + 0.005*"regularly" + 0.005*"frequently" + 0.005*"alexa" 2019-03-07 19:37:58,151 : INFO : topic #2 (0.333): 0.007*"sales" + 0.007*"health" + 0.006*"person" + 0.006*"procedure" + 0.006*"clinical" + 0.006*"healthcare" + 0.005*"enterprise" + 0.005*"subject" + 0.005*"resource" + 0.005*"student" 2019-03-07 19:37:58,153 : INFO : topic diff=0.132591, rho=0.447214 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:37:58,418 : INFO : -6.879 per-word bound, 117.7 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:37:58,419 : INFO : PROGRESS: pass 4, at document #143/143 2019-03-07 19:37:58,530 : INFO : topic #0 (0.333): 0.007*"search" + 0.006*"strategy" + 0.006*"marketing" + 0.005*"amazon" + 0.005*"optimization" + 0.005*"recommendation" + 0.004*"expert" + 0.004*"translate" + 0.004*"mining" + 0.004*"right" 2019-03-07 19:37:58,531 : INFO : topic #1 (0.333): 0.009*"capital" + 0.007*"equipment" + 0.007*"content" + 0.006*"guest" + 0.005*"english" + 0.005*"frequently" + 0.005*"alexa" + 0.005*"regularly" + 0.005*"place" + 0.005*"request" 2019-03-07 19:37:58,532 : INFO : topic #2 (0.333): 0.007*"sales" + 0.007*"health" + 0.007*"person" + 0.007*"clinical" + 0.007*"procedure" + 0.006*"healthcare" + 0.005*"enterprise" + 0.005*"subject" + 0.005*"student" + 0.005*"resource" 2019-03-07 19:37:58,533 : INFO : topic diff=0.109444, rho=0.408248 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:37:58,931 : INFO : -6.863 per-word bound, 116.4 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:37:58,932 : INFO : PROGRESS: pass 5, at document #143/143 2019-03-07 19:37:59,048 : INFO : topic #0 (0.333): 0.007*"search" + 0.006*"strategy" + 0.006*"marketing" + 0.005*"amazon" + 0.005*"optimization" + 0.005*"recommendation" + 0.004*"translate" + 0.004*"expert" + 0.004*"mining" + 0.004*"diverse" 2019-03-07 19:37:59,049 : INFO : topic #1 (0.333): 0.009*"capital" + 0.008*"equipment" + 0.007*"content" + 0.007*"guest" + 0.006*"english" + 0.005*"alexa" + 0.005*"frequently" + 0.005*"regularly" + 0.005*"place" + 0.005*"request" 2019-03-07 19:37:59,050 : INFO : topic #2 (0.333): 0.008*"sales" + 0.007*"health" + 0.007*"person" + 0.007*"clinical" + 0.007*"procedure" + 0.006*"healthcare" + 0.006*"student" + 0.006*"subject" + 0.005*"enterprise" + 0.005*"resource" 2019-03-07 19:37:59,052 : INFO : topic diff=0.092424, rho=0.377964 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:37:59,372 : INFO : -6.851 per-word bound, 115.5 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:37:59,373 : INFO : PROGRESS: pass 6, at document #143/143 2019-03-07 19:37:59,495 : INFO : topic #0 (0.333): 0.007*"search" + 0.006*"strategy" + 0.006*"marketing" + 0.005*"amazon" + 0.005*"optimization" + 0.005*"recommendation" + 0.004*"translate" + 0.004*"mining" + 0.004*"expert" + 0.004*"diverse" 2019-03-07 19:37:59,496 : INFO : topic #1 (0.333): 0.009*"capital" + 0.008*"equipment" + 0.007*"content" + 0.007*"guest" + 0.006*"english" + 0.006*"alexa" + 0.006*"frequently" + 0.006*"regularly" + 0.005*"place" + 0.005*"request" 2019-03-07 19:37:59,497 : INFO : topic #2 (0.333): 0.008*"sales" + 0.008*"health" + 0.007*"person" + 0.007*"clinical" + 0.007*"procedure" + 0.006*"healthcare" + 0.006*"student" + 0.006*"subject" + 0.005*"enterprise" + 0.005*"resource" 2019-03-07 19:37:59,498 : INFO : topic diff=0.080409, rho=0.353553 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:37:59,775 : INFO : -6.843 per-word bound, 114.8 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:37:59,776 : INFO : PROGRESS: pass 7, at document #143/143 2019-03-07 19:37:59,867 : INFO : topic #0 (0.333): 0.007*"search" + 0.006*"strategy" + 0.006*"marketing" + 0.005*"amazon" + 0.005*"recommendation" + 0.005*"optimization" + 0.004*"mining" + 0.004*"translate" + 0.004*"expert" + 0.004*"diverse" 2019-03-07 19:37:59,868 : INFO : topic #1 (0.333): 0.010*"capital" + 0.008*"equipment" + 0.008*"content" + 0.007*"guest" + 0.006*"alexa" + 0.006*"english" + 0.006*"frequently" + 0.006*"regularly" + 0.006*"place" + 0.005*"request" 2019-03-07 19:37:59,870 : INFO : topic #2 (0.333): 0.008*"sales" + 0.008*"health" + 0.008*"person" + 0.007*"clinical" + 0.007*"procedure" + 0.007*"student" + 0.006*"healthcare" + 0.006*"subject" + 0.005*"resource" + 0.005*"activity" 2019-03-07 19:37:59,873 : INFO : topic diff=0.071249, rho=0.333333 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:00,153 : INFO : -6.835 per-word bound, 114.2 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:00,154 : INFO : PROGRESS: pass 8, at document #143/143 2019-03-07 19:38:00,262 : INFO : topic #0 (0.333): 0.007*"search" + 0.006*"strategy" + 0.006*"marketing" + 0.005*"amazon" + 0.005*"recommendation" + 0.005*"optimization" + 0.004*"mining" + 0.004*"translate" + 0.004*"expert" + 0.004*"diverse" 2019-03-07 19:38:00,263 : INFO : topic #1 (0.333): 0.010*"capital" + 0.009*"equipment" + 0.008*"content" + 0.007*"guest" + 0.006*"alexa" + 0.006*"english" + 0.006*"frequently" + 0.006*"regularly" + 0.006*"place" + 0.005*"request" 2019-03-07 19:38:00,264 : INFO : topic #2 (0.333): 0.008*"sales" + 0.008*"person" + 0.008*"health" + 0.008*"clinical" + 0.008*"procedure" + 0.007*"student" + 0.006*"healthcare" + 0.006*"subject" + 0.006*"activity" + 0.006*"resource" 2019-03-07 19:38:00,265 : INFO : topic diff=0.063780, rho=0.316228 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:00,521 : INFO : -6.829 per-word bound, 113.7 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:00,521 : INFO : PROGRESS: pass 9, at document #143/143 2019-03-07 19:38:00,618 : INFO : topic #0 (0.333): 0.008*"search" + 0.006*"strategy" + 0.005*"marketing" + 0.005*"amazon" + 0.005*"recommendation" + 0.005*"optimization" + 0.004*"mining" + 0.004*"translate" + 0.004*"expert" + 0.004*"diverse" 2019-03-07 19:38:00,619 : INFO : topic #1 (0.333): 0.010*"capital" + 0.009*"equipment" + 0.008*"guest" + 0.008*"content" + 0.007*"alexa" + 0.007*"english" + 0.006*"frequently" + 0.006*"regularly" + 0.006*"place" + 0.005*"worker" 2019-03-07 19:38:00,620 : INFO : topic #2 (0.333): 0.008*"sales" + 0.008*"person" + 0.008*"health" + 0.008*"clinical" + 0.008*"student" + 0.008*"procedure" + 0.006*"healthcare" + 0.006*"activity" + 0.006*"subject" + 0.006*"resource" 2019-03-07 19:38:00,622 : INFO : topic diff=0.057718, rho=0.301511 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:00,890 : INFO : -6.823 per-word bound, 113.2 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:00,891 : INFO : PROGRESS: pass 10, at document #143/143 2019-03-07 19:38:00,980 : INFO : topic #0 (0.333): 0.008*"search" + 0.006*"strategy" + 0.005*"marketing" + 0.005*"amazon" + 0.005*"recommendation" + 0.005*"optimization" + 0.004*"translate" + 0.004*"mining" + 0.004*"expert" + 0.004*"diverse" 2019-03-07 19:38:00,981 : INFO : topic #1 (0.333): 0.010*"capital" + 0.009*"equipment" + 0.008*"guest" + 0.007*"content" + 0.007*"alexa" + 0.007*"frequently" + 0.007*"english" + 0.006*"regularly" + 0.006*"place" + 0.006*"worker" 2019-03-07 19:38:00,981 : INFO : topic #2 (0.333): 0.008*"sales" + 0.008*"person" + 0.008*"student" + 0.008*"health" + 0.008*"clinical" + 0.008*"procedure" + 0.006*"activity" + 0.006*"healthcare" + 0.006*"subject" + 0.006*"resource" 2019-03-07 19:38:00,983 : INFO : topic diff=0.052769, rho=0.288675 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:01,230 : INFO : -6.818 per-word bound, 112.8 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:01,231 : INFO : PROGRESS: pass 11, at document #143/143 2019-03-07 19:38:01,319 : INFO : topic #0 (0.333): 0.008*"search" + 0.007*"strategy" + 0.005*"marketing" + 0.005*"amazon" + 0.004*"recommendation" + 0.004*"optimization" + 0.004*"translate" + 0.004*"mining" + 0.004*"expert" + 0.004*"diverse" 2019-03-07 19:38:01,320 : INFO : topic #1 (0.333): 0.011*"capital" + 0.009*"equipment" + 0.008*"guest" + 0.007*"alexa" + 0.007*"content" + 0.007*"frequently" + 0.007*"english" + 0.007*"regularly" + 0.006*"place" + 0.006*"worker" 2019-03-07 19:38:01,321 : INFO : topic #2 (0.333): 0.008*"sales" + 0.008*"student" + 0.008*"person" + 0.008*"health" + 0.008*"clinical" + 0.008*"procedure" + 0.007*"activity" + 0.006*"healthcare" + 0.006*"subject" + 0.006*"resource" 2019-03-07 19:38:01,325 : INFO : topic diff=0.048814, rho=0.277350 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:01,567 : INFO : -6.813 per-word bound, 112.4 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:01,568 : INFO : PROGRESS: pass 12, at document #143/143 2019-03-07 19:38:01,661 : INFO : topic #0 (0.333): 0.008*"search" + 0.007*"strategy" + 0.005*"marketing" + 0.005*"amazon" + 0.004*"recommendation" + 0.004*"optimization" + 0.004*"translate" + 0.004*"mining" + 0.004*"expert" + 0.004*"diverse" 2019-03-07 19:38:01,662 : INFO : topic #1 (0.333): 0.011*"capital" + 0.010*"equipment" + 0.008*"guest" + 0.008*"alexa" + 0.007*"frequently" + 0.007*"english" + 0.007*"content" + 0.007*"regularly" + 0.006*"place" + 0.006*"worker" 2019-03-07 19:38:01,663 : INFO : topic #2 (0.333): 0.008*"sales" + 0.008*"student" + 0.008*"person" + 0.008*"health" + 0.008*"clinical" + 0.008*"procedure" + 0.007*"activity" + 0.006*"healthcare" + 0.006*"subject" + 0.006*"resource" 2019-03-07 19:38:01,664 : INFO : topic diff=0.045416, rho=0.267261 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:01,884 : INFO : -6.809 per-word bound, 112.1 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:01,891 : INFO : PROGRESS: pass 13, at document #143/143 2019-03-07 19:38:01,979 : INFO : topic #0 (0.333): 0.008*"search" + 0.007*"strategy" + 0.005*"marketing" + 0.005*"amazon" + 0.004*"recommendation" + 0.004*"optimization" + 0.004*"translate" + 0.004*"expert" + 0.004*"mining" + 0.004*"diverse" 2019-03-07 19:38:01,981 : INFO : topic #1 (0.333): 0.011*"capital" + 0.010*"equipment" + 0.009*"guest" + 0.008*"alexa" + 0.007*"frequently" + 0.007*"english" + 0.007*"regularly" + 0.007*"content" + 0.007*"place" + 0.006*"worker" 2019-03-07 19:38:01,982 : INFO : topic #2 (0.333): 0.008*"student" + 0.008*"sales" + 0.008*"person" + 0.008*"health" + 0.008*"clinical" + 0.008*"procedure" + 0.007*"activity" + 0.006*"healthcare" + 0.006*"subject" + 0.006*"resource" 2019-03-07 19:38:01,983 : INFO : topic diff=0.042495, rho=0.258199 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:02,199 : INFO : -6.805 per-word bound, 111.8 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:02,200 : INFO : PROGRESS: pass 14, at document #143/143 2019-03-07 19:38:02,281 : INFO : topic #0 (0.333): 0.008*"search" + 0.007*"strategy" + 0.005*"marketing" + 0.005*"amazon" + 0.004*"recommendation" + 0.004*"optimization" + 0.004*"translate" + 0.004*"expert" + 0.004*"mining" + 0.004*"diverse" 2019-03-07 19:38:02,283 : INFO : topic #1 (0.333): 0.011*"capital" + 0.010*"equipment" + 0.009*"guest" + 0.008*"alexa" + 0.008*"frequently" + 0.007*"english" + 0.007*"regularly" + 0.007*"place" + 0.006*"content" + 0.006*"worker" 2019-03-07 19:38:02,286 : INFO : topic #2 (0.333): 0.009*"student" + 0.008*"sales" + 0.008*"person" + 0.008*"health" + 0.008*"clinical" + 0.008*"procedure" + 0.007*"activity" + 0.006*"subject" + 0.006*"healthcare" + 0.006*"resource" 2019-03-07 19:38:02,288 : INFO : topic diff=0.040035, rho=0.250000 2019-03-07 19:38:02,290 : INFO : saving LdaState object under model3.gensim.state, separately None 2019-03-07 19:38:02,298 : INFO : saved model3.gensim.state 2019-03-07 19:38:02,305 : INFO : saving LdaModel object under model3.gensim, separately ['expElogbeta', 'sstats'] 2019-03-07 19:38:02,306 : INFO : storing np array 'expElogbeta' to model3.gensim.expElogbeta.npy 2019-03-07 19:38:02,318 : INFO : not storing attribute state 2019-03-07 19:38:02,318 : INFO : not storing attribute dispatcher 2019-03-07 19:38:02,319 : INFO : not storing attribute id2word 2019-03-07 19:38:02,329 : INFO : saved model3.gensim 2019-03-07 19:38:02,330 : INFO : topic #0 (0.333): 0.008*"search" + 0.007*"strategy" + 0.005*"marketing" + 0.005*"amazon" 2019-03-07 19:38:02,331 : INFO : topic #1 (0.333): 0.011*"capital" + 0.010*"equipment" + 0.009*"guest" + 0.008*"alexa" 2019-03-07 19:38:02,334 : INFO : topic #2 (0.333): 0.009*"student" + 0.008*"sales" + 0.008*"person" + 0.008*"health"
(0, '0.008*"search" + 0.007*"strategy" + 0.005*"marketing" + 0.005*"amazon"') (1, '0.011*"capital" + 0.010*"equipment" + 0.009*"guest" + 0.008*"alexa"') (2, '0.009*"student" + 0.008*"sales" + 0.008*"person" + 0.008*"health"')
In [58]:
dictionary = gensim.corpora.Dictionary.load('dictionary.gensim')
corpus = pickle.load(open('corpus.pkl', 'rb'))
lda = gensim.models.ldamodel.LdaModel.load('model3.gensim')
import pyLDAvis.gensim
lda_display = pyLDAvis.gensim.prepare(lda, corpus, dictionary, sort_topics=False)
pyLDAvis.display(lda_display)
2019-03-07 19:38:02,345 : INFO : loading Dictionary object from dictionary.gensim 2019-03-07 19:38:02,348 : INFO : loaded dictionary.gensim 2019-03-07 19:38:02,357 : INFO : loading LdaModel object from model3.gensim 2019-03-07 19:38:02,360 : INFO : loading expElogbeta from model3.gensim.expElogbeta.npy with mmap=None 2019-03-07 19:38:02,364 : INFO : setting ignored attribute state to None 2019-03-07 19:38:02,369 : INFO : setting ignored attribute dispatcher to None 2019-03-07 19:38:02,372 : INFO : setting ignored attribute id2word to None 2019-03-07 19:38:02,373 : INFO : loaded model3.gensim 2019-03-07 19:38:02,374 : INFO : loading LdaState object from model3.gensim.state 2019-03-07 19:38:02,378 : INFO : loaded model3.gensim.state
Out[58]:
In [59]:
ldamodel = gensim.models.ldamodel.LdaModel(corpus, num_topics = 5, id2word=dictionary, passes=15)
ldamodel.save('model5.gensim')
topics = ldamodel.print_topics(num_words=4)
for topic in topics:
print(topic)
2019-03-07 19:38:09,815 : INFO : using symmetric alpha at 0.2 2019-03-07 19:38:09,820 : INFO : using symmetric eta at 0.2 2019-03-07 19:38:09,822 : INFO : using serial LDA version on this node 2019-03-07 19:38:09,825 : INFO : running online (multi-pass) LDA training, 5 topics, 15 passes over the supplied corpus of 143 documents, updating model once every 143 documents, evaluating perplexity every 143 documents, iterating 50x with a convergence threshold of 0.001000 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:10,233 : INFO : -7.678 per-word bound, 204.9 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:10,233 : INFO : PROGRESS: pass 0, at document #143/143 2019-03-07 19:38:10,387 : INFO : topic #0 (0.200): 0.006*"http" + 0.006*"content" + 0.005*"amazon" + 0.005*"reporting" + 0.005*"healthcare" + 0.004*"deployment" + 0.004*"query" + 0.003*"engine" + 0.003*"health" + 0.003*"warehouse" 2019-03-07 19:38:10,388 : INFO : topic #1 (0.200): 0.008*"sales" + 0.007*"enterprise" + 0.006*"equipment" + 0.006*"guest" + 0.006*"frequently" + 0.006*"search" + 0.005*"english" + 0.005*"marketing" + 0.005*"clinical" + 0.005*"procedure" 2019-03-07 19:38:10,390 : INFO : topic #2 (0.200): 0.006*"capital" + 0.006*"search" + 0.005*"right" + 0.004*"health" + 0.004*"continuous" + 0.004*"unite" + 0.004*"succeed" + 0.004*"school" + 0.004*"tensorflow" + 0.004*"respect" 2019-03-07 19:38:10,394 : INFO : topic #3 (0.200): 0.006*"academic" + 0.005*"request" + 0.005*"student" + 0.005*"optimization" + 0.004*"accommodation" + 0.004*"strategy" + 0.004*"researcher" + 0.004*"recruit" + 0.004*"activity" + 0.004*"health" 2019-03-07 19:38:10,397 : INFO : topic #4 (0.200): 0.006*"person" + 0.005*"alexa" + 0.005*"user" + 0.005*"director" + 0.005*"capital" + 0.004*"activity" + 0.004*"strategy" + 0.004*"student" + 0.004*"computational" + 0.004*"health" 2019-03-07 19:38:10,399 : INFO : topic diff=0.732070, rho=1.000000 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:10,667 : INFO : -7.130 per-word bound, 140.1 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:10,667 : INFO : PROGRESS: pass 1, at document #143/143 2019-03-07 19:38:10,813 : INFO : topic #0 (0.200): 0.007*"http" + 0.006*"content" + 0.006*"amazon" + 0.006*"healthcare" + 0.005*"reporting" + 0.005*"query" + 0.004*"deployment" + 0.004*"strategy" + 0.004*"capability" + 0.004*"health" 2019-03-07 19:38:10,814 : INFO : topic #1 (0.200): 0.010*"sales" + 0.009*"equipment" + 0.008*"guest" + 0.008*"enterprise" + 0.008*"frequently" + 0.007*"procedure" + 0.007*"safety" + 0.006*"regularly" + 0.006*"marketing" + 0.006*"clinical" 2019-03-07 19:38:10,815 : INFO : topic #2 (0.200): 0.013*"capital" + 0.007*"succeed" + 0.007*"right" + 0.007*"continuous" + 0.006*"unite" + 0.006*"respect" + 0.005*"search" + 0.005*"delivery" + 0.005*"together" + 0.005*"enterprise" 2019-03-07 19:38:10,818 : INFO : topic #3 (0.200): 0.007*"academic" + 0.007*"request" + 0.005*"accommodation" + 0.005*"student" + 0.005*"optimization" + 0.004*"rule" + 0.004*"researcher" + 0.004*"recruit" + 0.004*"involve" + 0.004*"search" 2019-03-07 19:38:10,820 : INFO : topic #4 (0.200): 0.007*"person" + 0.006*"alexa" + 0.006*"director" + 0.005*"user" + 0.005*"student" + 0.005*"computational" + 0.004*"activity" + 0.004*"health" + 0.004*"hardware" + 0.004*"small" 2019-03-07 19:38:10,822 : INFO : topic diff=0.404257, rho=0.577350 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:11,037 : INFO : -6.997 per-word bound, 127.7 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:11,037 : INFO : PROGRESS: pass 2, at document #143/143 2019-03-07 19:38:11,137 : INFO : topic #0 (0.200): 0.007*"http" + 0.007*"amazon" + 0.006*"healthcare" + 0.006*"content" + 0.005*"strategy" + 0.005*"reporting" + 0.005*"query" + 0.004*"deployment" + 0.004*"capability" + 0.004*"analytic" 2019-03-07 19:38:11,138 : INFO : topic #1 (0.200): 0.011*"sales" + 0.010*"equipment" + 0.009*"guest" + 0.008*"frequently" + 0.008*"enterprise" + 0.008*"procedure" + 0.008*"safety" + 0.007*"regularly" + 0.007*"school" + 0.007*"clinical" 2019-03-07 19:38:11,142 : INFO : topic #2 (0.200): 0.016*"capital" + 0.009*"succeed" + 0.008*"right" + 0.008*"continuous" + 0.007*"unite" + 0.006*"respect" + 0.006*"delivery" + 0.006*"enterprise" + 0.006*"together" + 0.006*"streaming" 2019-03-07 19:38:11,143 : INFO : topic #3 (0.200): 0.008*"academic" + 0.007*"request" + 0.005*"accommodation" + 0.005*"student" + 0.005*"rule" + 0.005*"optimization" + 0.005*"researcher" + 0.005*"internship" + 0.005*"reasoning" + 0.005*"recruit" 2019-03-07 19:38:11,143 : INFO : topic #4 (0.200): 0.006*"alexa" + 0.006*"person" + 0.006*"student" + 0.006*"director" + 0.005*"computational" + 0.005*"health" + 0.005*"user" + 0.005*"hardware" + 0.004*"small" + 0.004*"human" 2019-03-07 19:38:11,144 : INFO : topic diff=0.322722, rho=0.500000 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:11,376 : INFO : -6.936 per-word bound, 122.4 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:11,377 : INFO : PROGRESS: pass 3, at document #143/143 2019-03-07 19:38:11,470 : INFO : topic #0 (0.200): 0.007*"http" + 0.007*"amazon" + 0.006*"healthcare" + 0.006*"strategy" + 0.006*"content" + 0.005*"reporting" + 0.004*"query" + 0.004*"capability" + 0.004*"deployment" + 0.004*"analytic" 2019-03-07 19:38:11,471 : INFO : topic #1 (0.200): 0.011*"sales" + 0.011*"equipment" + 0.010*"guest" + 0.009*"frequently" + 0.009*"procedure" + 0.008*"safety" + 0.008*"enterprise" + 0.008*"school" + 0.008*"regularly" + 0.007*"clinical" 2019-03-07 19:38:11,473 : INFO : topic #2 (0.200): 0.019*"capital" + 0.010*"succeed" + 0.009*"right" + 0.008*"continuous" + 0.007*"unite" + 0.007*"respect" + 0.007*"delivery" + 0.007*"enterprise" + 0.006*"streaming" + 0.006*"together" 2019-03-07 19:38:11,475 : INFO : topic #3 (0.200): 0.008*"academic" + 0.008*"request" + 0.006*"student" + 0.006*"rule" + 0.006*"accommodation" + 0.005*"optimization" + 0.005*"internship" + 0.005*"reasoning" + 0.005*"researcher" + 0.005*"involve" 2019-03-07 19:38:11,476 : INFO : topic #4 (0.200): 0.007*"alexa" + 0.006*"student" + 0.006*"person" + 0.006*"health" + 0.006*"director" + 0.006*"computational" + 0.005*"user" + 0.005*"hardware" + 0.005*"small" + 0.005*"human" 2019-03-07 19:38:11,477 : INFO : topic diff=0.261330, rho=0.447214 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:11,671 : INFO : -6.901 per-word bound, 119.5 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:11,672 : INFO : PROGRESS: pass 4, at document #143/143 2019-03-07 19:38:11,795 : INFO : topic #0 (0.200): 0.007*"strategy" + 0.007*"amazon" + 0.007*"http" + 0.006*"healthcare" + 0.006*"content" + 0.005*"reporting" + 0.004*"scalable" + 0.004*"capability" + 0.004*"analytic" + 0.004*"deployment" 2019-03-07 19:38:11,796 : INFO : topic #1 (0.200): 0.012*"equipment" + 0.012*"sales" + 0.010*"guest" + 0.009*"frequently" + 0.009*"procedure" + 0.009*"safety" + 0.008*"school" + 0.008*"enterprise" + 0.008*"regularly" + 0.008*"clinical" 2019-03-07 19:38:11,797 : INFO : topic #2 (0.200): 0.020*"capital" + 0.010*"succeed" + 0.009*"right" + 0.009*"continuous" + 0.008*"unite" + 0.007*"enterprise" + 0.007*"delivery" + 0.007*"respect" + 0.007*"streaming" + 0.007*"together" 2019-03-07 19:38:11,798 : INFO : topic #3 (0.200): 0.008*"academic" + 0.008*"request" + 0.006*"student" + 0.006*"rule" + 0.006*"accommodation" + 0.005*"reasoning" + 0.005*"activity" + 0.005*"internship" + 0.005*"optimization" + 0.005*"researcher" 2019-03-07 19:38:11,799 : INFO : topic #4 (0.200): 0.007*"alexa" + 0.006*"student" + 0.006*"health" + 0.006*"person" + 0.006*"computational" + 0.005*"director" + 0.005*"hardware" + 0.005*"user" + 0.005*"small" + 0.005*"image" 2019-03-07 19:38:11,802 : INFO : topic diff=0.214020, rho=0.408248 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:11,998 : INFO : -6.878 per-word bound, 117.6 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:12,000 : INFO : PROGRESS: pass 5, at document #143/143 2019-03-07 19:38:12,140 : INFO : topic #0 (0.200): 0.008*"strategy" + 0.007*"amazon" + 0.007*"http" + 0.006*"healthcare" + 0.005*"content" + 0.005*"reporting" + 0.005*"scalable" + 0.005*"capability" + 0.004*"analytic" + 0.004*"marketing" 2019-03-07 19:38:12,145 : INFO : topic #1 (0.200): 0.012*"equipment" + 0.012*"sales" + 0.011*"guest" + 0.010*"procedure" + 0.010*"frequently" + 0.010*"safety" + 0.009*"school" + 0.008*"enterprise" + 0.008*"regularly" + 0.008*"clinical" 2019-03-07 19:38:12,149 : INFO : topic #2 (0.200): 0.022*"capital" + 0.010*"succeed" + 0.009*"right" + 0.009*"continuous" + 0.008*"enterprise" + 0.008*"unite" + 0.007*"delivery" + 0.007*"respect" + 0.007*"streaming" + 0.007*"together" 2019-03-07 19:38:12,150 : INFO : topic #3 (0.200): 0.008*"academic" + 0.008*"request" + 0.006*"student" + 0.006*"rule" + 0.006*"activity" + 0.006*"accommodation" + 0.006*"reasoning" + 0.005*"internship" + 0.005*"optimization" + 0.005*"comprehension" 2019-03-07 19:38:12,151 : INFO : topic #4 (0.200): 0.007*"alexa" + 0.007*"health" + 0.006*"student" + 0.006*"computational" + 0.005*"person" + 0.005*"hardware" + 0.005*"user" + 0.005*"image" + 0.005*"small" + 0.005*"social" 2019-03-07 19:38:12,156 : INFO : topic diff=0.174945, rho=0.377964 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:12,645 : INFO : -6.862 per-word bound, 116.3 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:12,648 : INFO : PROGRESS: pass 6, at document #143/143 2019-03-07 19:38:12,767 : INFO : topic #0 (0.200): 0.008*"strategy" + 0.007*"amazon" + 0.006*"http" + 0.006*"healthcare" + 0.005*"content" + 0.005*"reporting" + 0.005*"scalable" + 0.005*"marketing" + 0.005*"capability" + 0.005*"analytic" 2019-03-07 19:38:12,768 : INFO : topic #1 (0.200): 0.013*"equipment" + 0.013*"sales" + 0.011*"guest" + 0.010*"procedure" + 0.010*"safety" + 0.010*"frequently" + 0.009*"school" + 0.009*"person" + 0.008*"enterprise" + 0.008*"clinical" 2019-03-07 19:38:12,769 : INFO : topic #2 (0.200): 0.023*"capital" + 0.010*"succeed" + 0.009*"right" + 0.009*"continuous" + 0.008*"enterprise" + 0.008*"unite" + 0.008*"delivery" + 0.007*"together" + 0.007*"streaming" + 0.007*"respect" 2019-03-07 19:38:12,769 : INFO : topic #3 (0.200): 0.008*"request" + 0.008*"academic" + 0.007*"student" + 0.006*"activity" + 0.006*"rule" + 0.006*"accommodation" + 0.006*"reasoning" + 0.005*"internship" + 0.005*"comprehension" + 0.005*"optimization" 2019-03-07 19:38:12,770 : INFO : topic #4 (0.200): 0.007*"alexa" + 0.007*"health" + 0.006*"student" + 0.006*"computational" + 0.005*"hardware" + 0.005*"image" + 0.005*"user" + 0.005*"person" + 0.005*"social" + 0.005*"custom" 2019-03-07 19:38:12,771 : INFO : topic diff=0.143564, rho=0.353553 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:13,035 : INFO : -6.850 per-word bound, 115.3 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:13,036 : INFO : PROGRESS: pass 7, at document #143/143 2019-03-07 19:38:13,136 : INFO : topic #0 (0.200): 0.009*"strategy" + 0.007*"amazon" + 0.006*"http" + 0.006*"healthcare" + 0.005*"marketing" + 0.005*"content" + 0.005*"reporting" + 0.005*"scalable" + 0.005*"capability" + 0.005*"analytic" 2019-03-07 19:38:13,138 : INFO : topic #1 (0.200): 0.013*"equipment" + 0.013*"sales" + 0.011*"guest" + 0.011*"procedure" + 0.011*"safety" + 0.010*"frequently" + 0.010*"school" + 0.009*"person" + 0.009*"clinical" + 0.009*"regularly" 2019-03-07 19:38:13,139 : INFO : topic #2 (0.200): 0.024*"capital" + 0.010*"succeed" + 0.009*"right" + 0.009*"continuous" + 0.008*"enterprise" + 0.008*"unite" + 0.008*"delivery" + 0.008*"together" + 0.007*"streaming" + 0.007*"respect" 2019-03-07 19:38:13,141 : INFO : topic #3 (0.200): 0.009*"request" + 0.008*"academic" + 0.007*"student" + 0.007*"activity" + 0.006*"rule" + 0.006*"accommodation" + 0.006*"reasoning" + 0.005*"comprehension" + 0.005*"internship" + 0.005*"involve" 2019-03-07 19:38:13,143 : INFO : topic #4 (0.200): 0.007*"health" + 0.007*"alexa" + 0.006*"computational" + 0.006*"student" + 0.005*"hardware" + 0.005*"image" + 0.005*"user" + 0.005*"social" + 0.005*"custom" + 0.005*"small" 2019-03-07 19:38:13,144 : INFO : topic diff=0.119642, rho=0.333333 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:13,476 : INFO : -6.840 per-word bound, 114.5 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:13,476 : INFO : PROGRESS: pass 8, at document #143/143 2019-03-07 19:38:13,562 : INFO : topic #0 (0.200): 0.009*"strategy" + 0.007*"amazon" + 0.006*"http" + 0.006*"healthcare" + 0.005*"marketing" + 0.005*"content" + 0.005*"capability" + 0.005*"scalable" + 0.005*"reporting" + 0.005*"strategic" 2019-03-07 19:38:13,564 : INFO : topic #1 (0.200): 0.014*"equipment" + 0.013*"sales" + 0.012*"guest" + 0.011*"procedure" + 0.011*"safety" + 0.010*"frequently" + 0.010*"school" + 0.010*"person" + 0.009*"clinical" + 0.009*"regularly" 2019-03-07 19:38:13,565 : INFO : topic #2 (0.200): 0.025*"capital" + 0.010*"succeed" + 0.009*"right" + 0.009*"continuous" + 0.008*"enterprise" + 0.008*"together" + 0.008*"delivery" + 0.008*"unite" + 0.007*"streaming" + 0.007*"tensorflow" 2019-03-07 19:38:13,568 : INFO : topic #3 (0.200): 0.009*"request" + 0.008*"academic" + 0.007*"student" + 0.007*"activity" + 0.006*"rule" + 0.006*"accommodation" + 0.006*"reasoning" + 0.006*"comprehension" + 0.005*"internship" + 0.005*"recruit" 2019-03-07 19:38:13,569 : INFO : topic #4 (0.200): 0.007*"health" + 0.007*"alexa" + 0.007*"computational" + 0.006*"student" + 0.005*"hardware" + 0.005*"image" + 0.005*"user" + 0.005*"social" + 0.005*"custom" + 0.005*"engine" 2019-03-07 19:38:13,570 : INFO : topic diff=0.100748, rho=0.316228 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:13,820 : INFO : -6.831 per-word bound, 113.9 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:13,820 : INFO : PROGRESS: pass 9, at document #143/143 2019-03-07 19:38:13,897 : INFO : topic #0 (0.200): 0.009*"strategy" + 0.007*"amazon" + 0.006*"http" + 0.006*"marketing" + 0.006*"healthcare" + 0.005*"content" + 0.005*"capability" + 0.005*"scalable" + 0.005*"reporting" + 0.005*"strategic" 2019-03-07 19:38:13,899 : INFO : topic #1 (0.200): 0.014*"equipment" + 0.013*"sales" + 0.012*"guest" + 0.012*"procedure" + 0.011*"safety" + 0.011*"frequently" + 0.010*"person" + 0.010*"school" + 0.009*"clinical" + 0.009*"regularly" 2019-03-07 19:38:13,900 : INFO : topic #2 (0.200): 0.025*"capital" + 0.010*"succeed" + 0.009*"right" + 0.009*"continuous" + 0.008*"enterprise" + 0.008*"together" + 0.008*"delivery" + 0.008*"unite" + 0.008*"tensorflow" + 0.008*"streaming" 2019-03-07 19:38:13,903 : INFO : topic #3 (0.200): 0.009*"request" + 0.008*"academic" + 0.008*"student" + 0.007*"activity" + 0.006*"rule" + 0.006*"accommodation" + 0.006*"reasoning" + 0.006*"comprehension" + 0.006*"director" + 0.005*"internship" 2019-03-07 19:38:13,904 : INFO : topic #4 (0.200): 0.007*"health" + 0.007*"alexa" + 0.007*"computational" + 0.006*"student" + 0.005*"image" + 0.005*"hardware" + 0.005*"engine" + 0.005*"user" + 0.005*"fraud" + 0.005*"social" 2019-03-07 19:38:13,906 : INFO : topic diff=0.085636, rho=0.301511 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:14,119 : INFO : -6.825 per-word bound, 113.3 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:14,120 : INFO : PROGRESS: pass 10, at document #143/143 2019-03-07 19:38:14,219 : INFO : topic #0 (0.200): 0.009*"strategy" + 0.007*"amazon" + 0.006*"http" + 0.006*"marketing" + 0.006*"healthcare" + 0.005*"content" + 0.005*"capability" + 0.005*"reporting" + 0.005*"scalable" + 0.005*"strategic" 2019-03-07 19:38:14,221 : INFO : topic #1 (0.200): 0.014*"equipment" + 0.014*"sales" + 0.012*"procedure" + 0.012*"guest" + 0.011*"safety" + 0.011*"frequently" + 0.011*"person" + 0.010*"school" + 0.009*"regularly" + 0.009*"clinical" 2019-03-07 19:38:14,222 : INFO : topic #2 (0.200): 0.026*"capital" + 0.010*"succeed" + 0.009*"continuous" + 0.009*"right" + 0.008*"enterprise" + 0.008*"together" + 0.008*"delivery" + 0.008*"tensorflow" + 0.008*"unite" + 0.008*"streaming" 2019-03-07 19:38:14,228 : INFO : topic #3 (0.200): 0.009*"request" + 0.008*"academic" + 0.008*"student" + 0.007*"activity" + 0.006*"rule" + 0.006*"accommodation" + 0.006*"director" + 0.006*"reasoning" + 0.006*"comprehension" + 0.005*"internship" 2019-03-07 19:38:14,229 : INFO : topic #4 (0.200): 0.008*"health" + 0.007*"alexa" + 0.007*"computational" + 0.006*"image" + 0.006*"engine" + 0.006*"hardware" + 0.005*"healthcare" + 0.005*"user" + 0.005*"fraud" + 0.005*"student" 2019-03-07 19:38:14,230 : INFO : topic diff=0.073447, rho=0.288675 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:14,453 : INFO : -6.819 per-word bound, 112.9 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:14,454 : INFO : PROGRESS: pass 11, at document #143/143 2019-03-07 19:38:14,533 : INFO : topic #0 (0.200): 0.010*"strategy" + 0.006*"amazon" + 0.006*"http" + 0.006*"marketing" + 0.005*"healthcare" + 0.005*"capability" + 0.005*"content" + 0.005*"reporting" + 0.005*"scalable" + 0.005*"strategic" 2019-03-07 19:38:14,535 : INFO : topic #1 (0.200): 0.014*"equipment" + 0.014*"sales" + 0.012*"procedure" + 0.012*"guest" + 0.011*"safety" + 0.011*"person" + 0.011*"frequently" + 0.010*"school" + 0.009*"regularly" + 0.009*"clinical" 2019-03-07 19:38:14,544 : INFO : topic #2 (0.200): 0.026*"capital" + 0.010*"succeed" + 0.010*"continuous" + 0.009*"right" + 0.008*"enterprise" + 0.008*"together" + 0.008*"delivery" + 0.008*"tensorflow" + 0.008*"streaming" + 0.008*"unite" 2019-03-07 19:38:14,545 : INFO : topic #3 (0.200): 0.009*"request" + 0.008*"student" + 0.008*"academic" + 0.007*"activity" + 0.006*"rule" + 0.006*"director" + 0.006*"accommodation" + 0.006*"reasoning" + 0.006*"comprehension" + 0.005*"internship" 2019-03-07 19:38:14,546 : INFO : topic #4 (0.200): 0.008*"health" + 0.007*"alexa" + 0.007*"computational" + 0.006*"healthcare" + 0.006*"engine" + 0.006*"search" + 0.006*"hardware" + 0.006*"image" + 0.006*"user" + 0.005*"fraud" 2019-03-07 19:38:14,547 : INFO : topic diff=0.063235, rho=0.277350 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:14,817 : INFO : -6.814 per-word bound, 112.5 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:14,818 : INFO : PROGRESS: pass 12, at document #143/143 2019-03-07 19:38:14,899 : INFO : topic #0 (0.200): 0.010*"strategy" + 0.006*"amazon" + 0.006*"marketing" + 0.006*"http" + 0.005*"healthcare" + 0.005*"capability" + 0.005*"content" + 0.005*"reporting" + 0.005*"scalable" + 0.005*"strategic" 2019-03-07 19:38:14,901 : INFO : topic #1 (0.200): 0.014*"equipment" + 0.014*"sales" + 0.013*"procedure" + 0.012*"guest" + 0.012*"safety" + 0.011*"person" + 0.011*"frequently" + 0.011*"school" + 0.009*"regularly" + 0.009*"clinical" 2019-03-07 19:38:14,902 : INFO : topic #2 (0.200): 0.026*"capital" + 0.010*"succeed" + 0.010*"continuous" + 0.009*"right" + 0.008*"enterprise" + 0.008*"together" + 0.008*"delivery" + 0.008*"tensorflow" + 0.008*"streaming" + 0.007*"unite" 2019-03-07 19:38:14,903 : INFO : topic #3 (0.200): 0.009*"request" + 0.009*"student" + 0.008*"academic" + 0.007*"activity" + 0.007*"rule" + 0.006*"director" + 0.006*"accommodation" + 0.006*"reasoning" + 0.006*"comprehension" + 0.005*"internship" 2019-03-07 19:38:14,907 : INFO : topic #4 (0.200): 0.008*"health" + 0.007*"alexa" + 0.007*"computational" + 0.006*"search" + 0.006*"healthcare" + 0.006*"engine" + 0.006*"user" + 0.006*"hardware" + 0.006*"image" + 0.006*"fraud" 2019-03-07 19:38:14,908 : INFO : topic diff=0.055582, rho=0.267261 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:15,139 : INFO : -6.810 per-word bound, 112.2 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:15,139 : INFO : PROGRESS: pass 13, at document #143/143 2019-03-07 19:38:15,228 : INFO : topic #0 (0.200): 0.010*"strategy" + 0.006*"amazon" + 0.006*"marketing" + 0.006*"http" + 0.005*"healthcare" + 0.005*"capability" + 0.005*"content" + 0.005*"reporting" + 0.005*"strategic" + 0.005*"scalable" 2019-03-07 19:38:15,229 : INFO : topic #1 (0.200): 0.015*"equipment" + 0.014*"sales" + 0.013*"procedure" + 0.012*"guest" + 0.012*"safety" + 0.012*"person" + 0.011*"frequently" + 0.011*"school" + 0.009*"regularly" + 0.009*"clinical" 2019-03-07 19:38:15,230 : INFO : topic #2 (0.200): 0.027*"capital" + 0.010*"succeed" + 0.010*"continuous" + 0.009*"right" + 0.008*"enterprise" + 0.008*"together" + 0.008*"delivery" + 0.008*"tensorflow" + 0.008*"streaming" + 0.007*"unite" 2019-03-07 19:38:15,231 : INFO : topic #3 (0.200): 0.009*"request" + 0.009*"student" + 0.008*"academic" + 0.007*"activity" + 0.007*"rule" + 0.007*"director" + 0.006*"accommodation" + 0.006*"reasoning" + 0.006*"comprehension" + 0.006*"internship" 2019-03-07 19:38:15,233 : INFO : topic #4 (0.200): 0.007*"health" + 0.007*"alexa" + 0.007*"computational" + 0.007*"search" + 0.006*"healthcare" + 0.006*"engine" + 0.006*"user" + 0.006*"hardware" + 0.006*"fraud" + 0.006*"image" 2019-03-07 19:38:15,234 : INFO : topic diff=0.049260, rho=0.258199 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:15,600 : INFO : -6.806 per-word bound, 111.9 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:15,601 : INFO : PROGRESS: pass 14, at document #143/143 2019-03-07 19:38:15,671 : INFO : topic #0 (0.200): 0.010*"strategy" + 0.006*"amazon" + 0.006*"marketing" + 0.006*"http" + 0.005*"capability" + 0.005*"healthcare" + 0.005*"content" + 0.005*"reporting" + 0.005*"global" + 0.005*"strategic" 2019-03-07 19:38:15,673 : INFO : topic #1 (0.200): 0.015*"equipment" + 0.014*"sales" + 0.013*"procedure" + 0.012*"guest" + 0.012*"safety" + 0.012*"person" + 0.011*"frequently" + 0.011*"school" + 0.009*"regularly" + 0.009*"worker" 2019-03-07 19:38:15,674 : INFO : topic #2 (0.200): 0.027*"capital" + 0.010*"succeed" + 0.010*"continuous" + 0.009*"right" + 0.008*"enterprise" + 0.008*"together" + 0.008*"delivery" + 0.008*"tensorflow" + 0.008*"streaming" + 0.007*"unite" 2019-03-07 19:38:15,676 : INFO : topic #3 (0.200): 0.010*"student" + 0.009*"request" + 0.008*"academic" + 0.008*"activity" + 0.007*"director" + 0.007*"rule" + 0.006*"accommodation" + 0.006*"comprehension" + 0.006*"reasoning" + 0.006*"internship" 2019-03-07 19:38:15,679 : INFO : topic #4 (0.200): 0.007*"search" + 0.007*"alexa" + 0.007*"health" + 0.007*"computational" + 0.007*"healthcare" + 0.006*"engine" + 0.006*"user" + 0.006*"hardware" + 0.006*"fraud" + 0.006*"provider" 2019-03-07 19:38:15,680 : INFO : topic diff=0.044093, rho=0.250000 2019-03-07 19:38:15,681 : INFO : saving LdaState object under model5.gensim.state, separately None 2019-03-07 19:38:15,728 : INFO : saved model5.gensim.state 2019-03-07 19:38:15,738 : INFO : saving LdaModel object under model5.gensim, separately ['expElogbeta', 'sstats'] 2019-03-07 19:38:15,739 : INFO : storing np array 'expElogbeta' to model5.gensim.expElogbeta.npy 2019-03-07 19:38:15,756 : INFO : not storing attribute state 2019-03-07 19:38:15,757 : INFO : not storing attribute dispatcher 2019-03-07 19:38:15,762 : INFO : not storing attribute id2word 2019-03-07 19:38:15,769 : INFO : saved model5.gensim 2019-03-07 19:38:15,770 : INFO : topic #0 (0.200): 0.010*"strategy" + 0.006*"amazon" + 0.006*"marketing" + 0.006*"http" 2019-03-07 19:38:15,771 : INFO : topic #1 (0.200): 0.015*"equipment" + 0.014*"sales" + 0.013*"procedure" + 0.012*"guest" 2019-03-07 19:38:15,775 : INFO : topic #2 (0.200): 0.027*"capital" + 0.010*"succeed" + 0.010*"continuous" + 0.009*"right" 2019-03-07 19:38:15,777 : INFO : topic #3 (0.200): 0.010*"student" + 0.009*"request" + 0.008*"academic" + 0.008*"activity" 2019-03-07 19:38:15,779 : INFO : topic #4 (0.200): 0.007*"search" + 0.007*"alexa" + 0.007*"health" + 0.007*"computational"
(0, '0.010*"strategy" + 0.006*"amazon" + 0.006*"marketing" + 0.006*"http"') (1, '0.015*"equipment" + 0.014*"sales" + 0.013*"procedure" + 0.012*"guest"') (2, '0.027*"capital" + 0.010*"succeed" + 0.010*"continuous" + 0.009*"right"') (3, '0.010*"student" + 0.009*"request" + 0.008*"academic" + 0.008*"activity"') (4, '0.007*"search" + 0.007*"alexa" + 0.007*"health" + 0.007*"computational"')
In [60]:
dictionary = gensim.corpora.Dictionary.load('dictionary.gensim')
corpus = pickle.load(open('corpus.pkl', 'rb'))
lda = gensim.models.ldamodel.LdaModel.load('model5.gensim')
import pyLDAvis.gensim
lda_display = pyLDAvis.gensim.prepare(lda, corpus, dictionary, sort_topics=False)
pyLDAvis.display(lda_display)
2019-03-07 19:38:15,790 : INFO : loading Dictionary object from dictionary.gensim 2019-03-07 19:38:15,825 : INFO : loaded dictionary.gensim 2019-03-07 19:38:15,837 : INFO : loading LdaModel object from model5.gensim 2019-03-07 19:38:15,838 : INFO : loading expElogbeta from model5.gensim.expElogbeta.npy with mmap=None 2019-03-07 19:38:15,841 : INFO : setting ignored attribute state to None 2019-03-07 19:38:15,842 : INFO : setting ignored attribute dispatcher to None 2019-03-07 19:38:15,843 : INFO : setting ignored attribute id2word to None 2019-03-07 19:38:15,844 : INFO : loaded model5.gensim 2019-03-07 19:38:15,849 : INFO : loading LdaState object from model5.gensim.state 2019-03-07 19:38:15,851 : INFO : loaded model5.gensim.state
Out[60]:
The PyLDAviz actually turned out very well. The topics are balanced, and relatively the same size. Words like "share" and "helping" were both featured in topics 1, and 3. "Together" was in topics 1, 3, and 5. Which does suggest that some of the topics may feature some words that are known as more collaborative than others. While the other topics don't feature words that are perceived negatively by women, there are some topics that might be more female-positive.¶
In [61]:
ldamodel = gensim.models.ldamodel.LdaModel(corpus, num_topics = 10, id2word=dictionary, passes=15)
ldamodel.save('model10.gensim')
topics = ldamodel.print_topics(num_words=4)
for topic in topics:
print(topic)
2019-03-07 19:38:16,904 : INFO : using symmetric alpha at 0.1 2019-03-07 19:38:16,907 : INFO : using symmetric eta at 0.1 2019-03-07 19:38:16,909 : INFO : using serial LDA version on this node 2019-03-07 19:38:16,913 : INFO : running online (multi-pass) LDA training, 10 topics, 15 passes over the supplied corpus of 143 documents, updating model once every 143 documents, evaluating perplexity every 143 documents, iterating 50x with a convergence threshold of 0.001000 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:17,353 : INFO : -8.386 per-word bound, 334.6 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:17,354 : INFO : PROGRESS: pass 0, at document #143/143 2019-03-07 19:38:17,589 : INFO : topic #8 (0.100): 0.007*"student" + 0.007*"request" + 0.006*"director" + 0.006*"alexa" + 0.006*"procedure" + 0.005*"health" + 0.005*"strategy" + 0.005*"submit" + 0.004*"delivery" + 0.004*"healthcare" 2019-03-07 19:38:17,590 : INFO : topic #4 (0.100): 0.006*"analytic" + 0.005*"mobility" + 0.005*"scalable" + 0.005*"pipeline" + 0.005*"equipment" + 0.005*"content" + 0.005*"accommodation" + 0.004*"commercial" + 0.004*"mining" + 0.004*"http" 2019-03-07 19:38:17,593 : INFO : topic #3 (0.100): 0.013*"search" + 0.007*"http" + 0.006*"query" + 0.005*"hardware" + 0.005*"computational" + 0.005*"engine" + 0.005*"azure" + 0.004*"constantly" + 0.004*"security" + 0.004*"methodology" 2019-03-07 19:38:17,594 : INFO : topic #0 (0.100): 0.008*"health" + 0.005*"equipment" + 0.005*"regularly" + 0.005*"content" + 0.004*"school" + 0.004*"submit" + 0.004*"healthcare" + 0.004*"associate" + 0.004*"english" + 0.004*"frequently" 2019-03-07 19:38:17,596 : INFO : topic #5 (0.100): 0.009*"strategy" + 0.005*"person" + 0.005*"academic" + 0.005*"order" + 0.005*"signal" + 0.005*"digital" + 0.005*"feedback" + 0.004*"internship" + 0.004*"global" + 0.004*"activity" 2019-03-07 19:38:17,597 : INFO : topic diff=1.501262, rho=1.000000 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:17,914 : INFO : -7.588 per-word bound, 192.5 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:17,916 : INFO : PROGRESS: pass 1, at document #143/143 2019-03-07 19:38:18,085 : INFO : topic #2 (0.100): 0.014*"capital" + 0.006*"content" + 0.005*"docker" + 0.005*"succeed" + 0.005*"first" + 0.005*"continuous" + 0.005*"right" + 0.005*"guest" + 0.005*"security" + 0.004*"frequently" 2019-03-07 19:38:18,086 : INFO : topic #4 (0.100): 0.012*"mobility" + 0.008*"analytic" + 0.008*"scalable" + 0.007*"pipeline" + 0.007*"growing" + 0.006*"efficient" + 0.006*"revolutionize" + 0.006*"mining" + 0.006*"collaborative" + 0.005*"domain" 2019-03-07 19:38:18,087 : INFO : topic #5 (0.100): 0.010*"strategy" + 0.008*"person" + 0.008*"order" + 0.006*"simulation" + 0.006*"signal" + 0.006*"internship" + 0.006*"remote" + 0.005*"feedback" + 0.005*"multi" + 0.005*"driving" 2019-03-07 19:38:18,088 : INFO : topic #1 (0.100): 0.015*"scientific" + 0.013*"mining" + 0.011*"category" + 0.008*"metrics" + 0.007*"thinking" + 0.007*"expert" + 0.007*"grant" + 0.007*"together" + 0.007*"search" + 0.006*"hardware" 2019-03-07 19:38:18,092 : INFO : topic #6 (0.100): 0.013*"amazon" + 0.009*"sales" + 0.008*"marketing" + 0.008*"strategy" + 0.007*"advertising" + 0.007*"market" + 0.006*"predictive" + 0.006*"clinical" + 0.006*"conduct" + 0.006*"measure" 2019-03-07 19:38:18,093 : INFO : topic diff=0.816885, rho=0.577350 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:18,361 : INFO : -7.338 per-word bound, 161.8 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:18,363 : INFO : PROGRESS: pass 2, at document #143/143 2019-03-07 19:38:18,467 : INFO : topic #4 (0.100): 0.017*"mobility" + 0.010*"analytic" + 0.009*"scalable" + 0.008*"pipeline" + 0.008*"growing" + 0.008*"domain" + 0.008*"efficient" + 0.007*"revolutionize" + 0.007*"collaborative" + 0.007*"mining" 2019-03-07 19:38:18,469 : INFO : topic #6 (0.100): 0.015*"amazon" + 0.010*"marketing" + 0.009*"strategy" + 0.008*"advertising" + 0.008*"sales" + 0.008*"patient" + 0.007*"predictive" + 0.007*"market" + 0.006*"clinical" + 0.006*"finance" 2019-03-07 19:38:18,472 : INFO : topic #7 (0.100): 0.012*"sales" + 0.009*"space" + 0.008*"enterprise" + 0.008*"user" + 0.007*"rule" + 0.007*"something" + 0.007*"comprehension" + 0.006*"hours" + 0.006*"master" + 0.006*"transportation" 2019-03-07 19:38:18,475 : INFO : topic #2 (0.100): 0.016*"capital" + 0.007*"content" + 0.006*"succeed" + 0.006*"continuous" + 0.006*"docker" + 0.006*"right" + 0.005*"first" + 0.005*"pipeline" + 0.005*"connect" + 0.005*"devops" 2019-03-07 19:38:18,476 : INFO : topic #1 (0.100): 0.017*"scientific" + 0.015*"mining" + 0.012*"category" + 0.009*"metrics" + 0.009*"thinking" + 0.008*"together" + 0.008*"grant" + 0.008*"hardware" + 0.008*"expert" + 0.007*"user" 2019-03-07 19:38:18,477 : INFO : topic diff=0.718037, rho=0.500000 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:18,761 : INFO : -7.208 per-word bound, 147.9 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:18,763 : INFO : PROGRESS: pass 3, at document #143/143 2019-03-07 19:38:18,867 : INFO : topic #6 (0.100): 0.016*"amazon" + 0.011*"marketing" + 0.010*"strategy" + 0.009*"patient" + 0.009*"advertising" + 0.008*"sales" + 0.008*"predictive" + 0.007*"market" + 0.007*"finance" + 0.006*"clinical" 2019-03-07 19:38:18,869 : INFO : topic #2 (0.100): 0.017*"capital" + 0.008*"content" + 0.007*"succeed" + 0.007*"continuous" + 0.006*"docker" + 0.006*"right" + 0.006*"first" + 0.005*"connect" + 0.005*"pipeline" + 0.005*"passionate" 2019-03-07 19:38:18,870 : INFO : topic #3 (0.100): 0.020*"search" + 0.009*"http" + 0.007*"query" + 0.007*"computational" + 0.006*"azure" + 0.006*"global" + 0.005*"hardware" + 0.005*"growing" + 0.005*"accommodation" + 0.005*"methodology" 2019-03-07 19:38:18,871 : INFO : topic #9 (0.100): 0.012*"recommendation" + 0.011*"alexa" + 0.010*"engine" + 0.009*"hardware" + 0.009*"reporting" + 0.008*"human" + 0.008*"unstructured" + 0.008*"findings" + 0.007*"voice" + 0.007*"marketing" 2019-03-07 19:38:18,875 : INFO : topic #1 (0.100): 0.018*"scientific" + 0.017*"mining" + 0.013*"category" + 0.010*"metrics" + 0.009*"thinking" + 0.009*"together" + 0.009*"hardware" + 0.008*"grant" + 0.008*"user" + 0.008*"analyst" 2019-03-07 19:38:18,877 : INFO : topic diff=0.608244, rho=0.447214 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:19,155 : INFO : -7.133 per-word bound, 140.3 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:19,157 : INFO : PROGRESS: pass 4, at document #143/143 2019-03-07 19:38:19,228 : INFO : topic #8 (0.100): 0.015*"student" + 0.013*"director" + 0.011*"clinical" + 0.011*"procedure" + 0.010*"activity" + 0.010*"request" + 0.008*"teaching" + 0.007*"works" + 0.007*"compliance" + 0.007*"subject" 2019-03-07 19:38:19,230 : INFO : topic #0 (0.100): 0.015*"equipment" + 0.012*"guest" + 0.010*"frequently" + 0.010*"english" + 0.009*"school" + 0.009*"regularly" + 0.009*"worker" + 0.008*"place" + 0.008*"carry" + 0.007*"speak" 2019-03-07 19:38:19,231 : INFO : topic #4 (0.100): 0.019*"mobility" + 0.010*"analytic" + 0.010*"scalable" + 0.010*"growing" + 0.010*"pipeline" + 0.010*"domain" + 0.009*"efficient" + 0.008*"revolutionize" + 0.008*"collaborative" + 0.008*"transportation" 2019-03-07 19:38:19,232 : INFO : topic #7 (0.100): 0.013*"sales" + 0.009*"enterprise" + 0.009*"space" + 0.008*"user" + 0.008*"rule" + 0.008*"comprehension" + 0.008*"something" + 0.007*"hours" + 0.006*"transportation" + 0.006*"master" 2019-03-07 19:38:19,233 : INFO : topic #1 (0.100): 0.019*"mining" + 0.018*"scientific" + 0.013*"category" + 0.011*"metrics" + 0.009*"thinking" + 0.009*"together" + 0.009*"hardware" + 0.009*"grant" + 0.009*"user" + 0.008*"proficiency" 2019-03-07 19:38:19,235 : INFO : topic diff=0.500285, rho=0.408248 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:19,480 : INFO : -7.084 per-word bound, 135.7 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:19,481 : INFO : PROGRESS: pass 5, at document #143/143 2019-03-07 19:38:19,563 : INFO : topic #2 (0.100): 0.018*"capital" + 0.008*"content" + 0.008*"continuous" + 0.008*"succeed" + 0.007*"docker" + 0.007*"right" + 0.006*"connect" + 0.006*"passionate" + 0.006*"first" + 0.006*"devops" 2019-03-07 19:38:19,564 : INFO : topic #5 (0.100): 0.011*"strategy" + 0.011*"order" + 0.009*"person" + 0.008*"simulation" + 0.007*"warehouse" + 0.007*"driving" + 0.007*"signal" + 0.007*"remote" + 0.007*"internship" + 0.007*"sales" 2019-03-07 19:38:19,564 : INFO : topic #1 (0.100): 0.021*"mining" + 0.018*"scientific" + 0.014*"category" + 0.011*"metrics" + 0.010*"apple" + 0.010*"thinking" + 0.009*"together" + 0.009*"hardware" + 0.009*"grant" + 0.009*"user" 2019-03-07 19:38:19,566 : INFO : topic #4 (0.100): 0.020*"mobility" + 0.010*"analytic" + 0.010*"scalable" + 0.010*"growing" + 0.010*"domain" + 0.010*"pipeline" + 0.009*"efficient" + 0.008*"revolutionize" + 0.008*"collaborative" + 0.008*"transportation" 2019-03-07 19:38:19,568 : INFO : topic #3 (0.100): 0.020*"search" + 0.009*"http" + 0.008*"query" + 0.007*"computational" + 0.006*"azure" + 0.006*"global" + 0.005*"expert" + 0.005*"empower" + 0.005*"growing" + 0.005*"accommodation" 2019-03-07 19:38:19,569 : INFO : topic diff=0.404177, rho=0.377964 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:19,812 : INFO : -7.052 per-word bound, 132.7 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:19,813 : INFO : PROGRESS: pass 6, at document #143/143 2019-03-07 19:38:19,881 : INFO : topic #7 (0.100): 0.014*"sales" + 0.010*"enterprise" + 0.009*"space" + 0.009*"user" + 0.008*"rule" + 0.008*"comprehension" + 0.008*"something" + 0.007*"hours" + 0.007*"transportation" + 0.007*"difference" 2019-03-07 19:38:19,882 : INFO : topic #9 (0.100): 0.014*"recommendation" + 0.013*"alexa" + 0.011*"engine" + 0.010*"reporting" + 0.009*"unstructured" + 0.009*"hardware" + 0.009*"voice" + 0.008*"marketing" + 0.008*"human" + 0.008*"findings" 2019-03-07 19:38:19,882 : INFO : topic #3 (0.100): 0.020*"search" + 0.009*"http" + 0.008*"query" + 0.007*"computational" + 0.006*"azure" + 0.006*"global" + 0.005*"expert" + 0.005*"empower" + 0.005*"growing" + 0.005*"workplace" 2019-03-07 19:38:19,883 : INFO : topic #0 (0.100): 0.016*"equipment" + 0.013*"guest" + 0.011*"frequently" + 0.011*"english" + 0.010*"school" + 0.010*"regularly" + 0.009*"worker" + 0.009*"carry" + 0.009*"place" + 0.008*"speak" 2019-03-07 19:38:19,884 : INFO : topic #5 (0.100): 0.012*"strategy" + 0.011*"order" + 0.008*"simulation" + 0.008*"person" + 0.008*"warehouse" + 0.008*"driving" + 0.007*"remote" + 0.007*"signal" + 0.007*"internship" + 0.007*"sales" 2019-03-07 19:38:19,886 : INFO : topic diff=0.323217, rho=0.353553 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:20,105 : INFO : -7.030 per-word bound, 130.7 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:20,105 : INFO : PROGRESS: pass 7, at document #143/143 2019-03-07 19:38:20,169 : INFO : topic #7 (0.100): 0.014*"sales" + 0.010*"enterprise" + 0.009*"space" + 0.009*"user" + 0.009*"comprehension" + 0.008*"rule" + 0.008*"something" + 0.007*"hours" + 0.007*"transportation" + 0.007*"difference" 2019-03-07 19:38:20,170 : INFO : topic #0 (0.100): 0.017*"equipment" + 0.014*"guest" + 0.012*"frequently" + 0.011*"english" + 0.010*"school" + 0.010*"regularly" + 0.009*"worker" + 0.009*"carry" + 0.009*"place" + 0.008*"speak" 2019-03-07 19:38:20,171 : INFO : topic #2 (0.100): 0.018*"capital" + 0.009*"content" + 0.008*"continuous" + 0.008*"succeed" + 0.007*"docker" + 0.007*"right" + 0.006*"connect" + 0.006*"devops" + 0.006*"passionate" + 0.006*"respect" 2019-03-07 19:38:20,173 : INFO : topic #4 (0.100): 0.021*"mobility" + 0.011*"analytic" + 0.010*"domain" + 0.010*"scalable" + 0.010*"growing" + 0.009*"efficient" + 0.009*"pipeline" + 0.008*"revolutionize" + 0.008*"collaborative" + 0.008*"transportation" 2019-03-07 19:38:20,174 : INFO : topic #3 (0.100): 0.021*"search" + 0.009*"http" + 0.008*"query" + 0.008*"computational" + 0.006*"azure" + 0.006*"global" + 0.005*"expert" + 0.005*"empower" + 0.005*"growing" + 0.005*"insurance" 2019-03-07 19:38:20,177 : INFO : topic diff=0.258733, rho=0.333333 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:20,449 : INFO : -7.013 per-word bound, 129.1 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:20,449 : INFO : PROGRESS: pass 8, at document #143/143 2019-03-07 19:38:20,518 : INFO : topic #2 (0.100): 0.019*"capital" + 0.009*"content" + 0.008*"continuous" + 0.008*"succeed" + 0.007*"right" + 0.007*"docker" + 0.006*"connect" + 0.006*"devops" + 0.006*"passionate" + 0.006*"respect" 2019-03-07 19:38:20,519 : INFO : topic #3 (0.100): 0.021*"search" + 0.009*"http" + 0.008*"query" + 0.008*"computational" + 0.006*"azure" + 0.006*"global" + 0.005*"empower" + 0.005*"expert" + 0.005*"growing" + 0.005*"insurance" 2019-03-07 19:38:20,520 : INFO : topic #0 (0.100): 0.017*"equipment" + 0.014*"guest" + 0.012*"frequently" + 0.011*"english" + 0.011*"school" + 0.010*"regularly" + 0.010*"carry" + 0.009*"worker" + 0.009*"place" + 0.009*"speak" 2019-03-07 19:38:20,521 : INFO : topic #4 (0.100): 0.021*"mobility" + 0.011*"analytic" + 0.010*"domain" + 0.010*"scalable" + 0.010*"growing" + 0.009*"efficient" + 0.009*"pipeline" + 0.008*"revolutionize" + 0.008*"collaborative" + 0.008*"transportation" 2019-03-07 19:38:20,525 : INFO : topic #8 (0.100): 0.017*"student" + 0.014*"clinical" + 0.014*"director" + 0.012*"activity" + 0.012*"procedure" + 0.010*"request" + 0.009*"teaching" + 0.009*"person" + 0.008*"subject" + 0.008*"works" 2019-03-07 19:38:20,526 : INFO : topic diff=0.208513, rho=0.316228 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:20,795 : INFO : -7.000 per-word bound, 128.0 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:20,796 : INFO : PROGRESS: pass 9, at document #143/143 2019-03-07 19:38:20,861 : INFO : topic #6 (0.100): 0.018*"amazon" + 0.014*"marketing" + 0.012*"patient" + 0.012*"strategy" + 0.012*"advertising" + 0.008*"external" + 0.008*"market" + 0.007*"predictive" + 0.007*"translate" + 0.007*"sales" 2019-03-07 19:38:20,862 : INFO : topic #3 (0.100): 0.021*"search" + 0.009*"http" + 0.008*"query" + 0.008*"computational" + 0.006*"azure" + 0.006*"global" + 0.005*"empower" + 0.005*"expert" + 0.005*"retrieval" + 0.005*"growing" 2019-03-07 19:38:20,864 : INFO : topic #1 (0.100): 0.023*"mining" + 0.019*"scientific" + 0.018*"apple" + 0.014*"category" + 0.012*"metrics" + 0.010*"thinking" + 0.009*"together" + 0.009*"hardware" + 0.009*"post" + 0.009*"driving" 2019-03-07 19:38:20,865 : INFO : topic #7 (0.100): 0.014*"sales" + 0.010*"enterprise" + 0.009*"user" + 0.009*"space" + 0.009*"comprehension" + 0.008*"rule" + 0.008*"something" + 0.007*"transportation" + 0.007*"difference" + 0.007*"hours" 2019-03-07 19:38:20,866 : INFO : topic #4 (0.100): 0.021*"mobility" + 0.011*"analytic" + 0.010*"domain" + 0.010*"scalable" + 0.010*"growing" + 0.010*"efficient" + 0.009*"pipeline" + 0.008*"revolutionize" + 0.008*"collaborative" + 0.008*"transportation" 2019-03-07 19:38:20,868 : INFO : topic diff=0.169998, rho=0.301511 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:21,138 : INFO : -6.989 per-word bound, 127.0 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:21,139 : INFO : PROGRESS: pass 10, at document #143/143 2019-03-07 19:38:21,211 : INFO : topic #0 (0.100): 0.017*"equipment" + 0.014*"guest" + 0.012*"frequently" + 0.012*"english" + 0.011*"school" + 0.011*"regularly" + 0.010*"carry" + 0.010*"worker" + 0.009*"place" + 0.009*"speak" 2019-03-07 19:38:21,212 : INFO : topic #6 (0.100): 0.018*"amazon" + 0.014*"marketing" + 0.012*"patient" + 0.012*"strategy" + 0.012*"advertising" + 0.008*"external" + 0.008*"market" + 0.007*"predictive" + 0.007*"translate" + 0.007*"sales" 2019-03-07 19:38:21,214 : INFO : topic #3 (0.100): 0.021*"search" + 0.009*"http" + 0.008*"query" + 0.008*"computational" + 0.006*"azure" + 0.006*"global" + 0.006*"empower" + 0.005*"expert" + 0.005*"retrieval" + 0.005*"insurance" 2019-03-07 19:38:21,216 : INFO : topic #5 (0.100): 0.012*"strategy" + 0.011*"order" + 0.009*"simulation" + 0.008*"warehouse" + 0.008*"driving" + 0.008*"healthcare" + 0.008*"remote" + 0.007*"sales" + 0.007*"signal" + 0.007*"internship" 2019-03-07 19:38:21,218 : INFO : topic #9 (0.100): 0.016*"alexa" + 0.014*"recommendation" + 0.010*"engine" + 0.010*"reporting" + 0.009*"voice" + 0.009*"marketing" + 0.009*"unstructured" + 0.008*"hardware" + 0.008*"analytic" + 0.007*"human" 2019-03-07 19:38:21,220 : INFO : topic diff=0.140126, rho=0.288675 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:21,447 : INFO : -6.980 per-word bound, 126.3 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:21,448 : INFO : PROGRESS: pass 11, at document #143/143 2019-03-07 19:38:21,517 : INFO : topic #6 (0.100): 0.018*"amazon" + 0.014*"marketing" + 0.012*"strategy" + 0.012*"patient" + 0.012*"advertising" + 0.008*"external" + 0.008*"market" + 0.008*"translate" + 0.007*"predictive" + 0.007*"sales" 2019-03-07 19:38:21,518 : INFO : topic #5 (0.100): 0.012*"strategy" + 0.011*"order" + 0.009*"simulation" + 0.008*"warehouse" + 0.008*"driving" + 0.008*"healthcare" + 0.008*"remote" + 0.007*"sales" + 0.007*"signal" + 0.007*"internship" 2019-03-07 19:38:21,519 : INFO : topic #4 (0.100): 0.021*"mobility" + 0.011*"analytic" + 0.011*"domain" + 0.010*"scalable" + 0.010*"growing" + 0.010*"efficient" + 0.008*"pipeline" + 0.008*"revolutionize" + 0.008*"collaborative" + 0.008*"transportation" 2019-03-07 19:38:21,521 : INFO : topic #1 (0.100): 0.023*"mining" + 0.020*"apple" + 0.019*"scientific" + 0.013*"category" + 0.012*"metrics" + 0.010*"post" + 0.010*"thinking" + 0.009*"together" + 0.009*"hardware" + 0.009*"driving" 2019-03-07 19:38:21,522 : INFO : topic #8 (0.100): 0.017*"student" + 0.015*"clinical" + 0.014*"director" + 0.012*"activity" + 0.012*"procedure" + 0.010*"person" + 0.010*"request" + 0.009*"teaching" + 0.008*"health" + 0.008*"subject" 2019-03-07 19:38:21,526 : INFO : topic diff=0.116697, rho=0.277350 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:21,746 : INFO : -6.973 per-word bound, 125.6 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:21,747 : INFO : PROGRESS: pass 12, at document #143/143 2019-03-07 19:38:21,822 : INFO : topic #8 (0.100): 0.018*"student" + 0.015*"clinical" + 0.014*"director" + 0.012*"activity" + 0.012*"procedure" + 0.011*"person" + 0.010*"request" + 0.010*"teaching" + 0.009*"health" + 0.008*"subject" 2019-03-07 19:38:21,823 : INFO : topic #0 (0.100): 0.018*"equipment" + 0.014*"guest" + 0.012*"frequently" + 0.012*"english" + 0.011*"school" + 0.011*"regularly" + 0.010*"carry" + 0.010*"worker" + 0.009*"safety" + 0.009*"place" 2019-03-07 19:38:21,826 : INFO : topic #9 (0.100): 0.016*"alexa" + 0.014*"recommendation" + 0.010*"reporting" + 0.010*"engine" + 0.009*"voice" + 0.009*"marketing" + 0.009*"unstructured" + 0.008*"hardware" + 0.008*"analytic" + 0.007*"agency" 2019-03-07 19:38:21,827 : INFO : topic #7 (0.100): 0.014*"sales" + 0.010*"enterprise" + 0.009*"user" + 0.009*"space" + 0.009*"comprehension" + 0.008*"rule" + 0.008*"something" + 0.007*"transportation" + 0.007*"difference" + 0.007*"hours" 2019-03-07 19:38:21,830 : INFO : topic #3 (0.100): 0.021*"search" + 0.009*"http" + 0.008*"query" + 0.008*"computational" + 0.006*"azure" + 0.006*"global" + 0.006*"empower" + 0.005*"expert" + 0.005*"retrieval" + 0.005*"insurance" 2019-03-07 19:38:21,831 : INFO : topic diff=0.098496, rho=0.267261 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:22,039 : INFO : -6.966 per-word bound, 125.1 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:22,040 : INFO : PROGRESS: pass 13, at document #143/143 2019-03-07 19:38:22,101 : INFO : topic #9 (0.100): 0.016*"alexa" + 0.014*"recommendation" + 0.010*"reporting" + 0.010*"engine" + 0.009*"voice" + 0.009*"marketing" + 0.009*"unstructured" + 0.008*"hardware" + 0.008*"analytic" + 0.007*"agency" 2019-03-07 19:38:22,102 : INFO : topic #2 (0.100): 0.019*"capital" + 0.009*"content" + 0.008*"continuous" + 0.008*"right" + 0.008*"succeed" + 0.007*"docker" + 0.007*"connect" + 0.007*"devops" + 0.006*"passionate" + 0.006*"respect" 2019-03-07 19:38:22,103 : INFO : topic #1 (0.100): 0.023*"mining" + 0.021*"apple" + 0.019*"scientific" + 0.013*"category" + 0.012*"metrics" + 0.011*"post" + 0.010*"thinking" + 0.009*"additional" + 0.009*"weekly" + 0.009*"together" 2019-03-07 19:38:22,104 : INFO : topic #8 (0.100): 0.018*"student" + 0.015*"clinical" + 0.014*"director" + 0.012*"activity" + 0.012*"procedure" + 0.011*"person" + 0.010*"request" + 0.010*"teaching" + 0.009*"health" + 0.009*"subject" 2019-03-07 19:38:22,108 : INFO : topic #6 (0.100): 0.018*"amazon" + 0.014*"marketing" + 0.013*"strategy" + 0.012*"advertising" + 0.012*"patient" + 0.008*"external" + 0.008*"market" + 0.008*"translate" + 0.008*"predictive" + 0.007*"sales" 2019-03-07 19:38:22,109 : INFO : topic diff=0.083923, rho=0.258199 /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. /anaconda3/lib/python3.6/site-packages/gensim/models/ldamodel.py:826: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.from_iter(generator)) or the python sum builtin instead. 2019-03-07 19:38:22,332 : INFO : -6.961 per-word bound, 124.6 perplexity estimate based on a held-out corpus of 143 documents with 12050 words 2019-03-07 19:38:22,333 : INFO : PROGRESS: pass 14, at document #143/143 2019-03-07 19:38:22,412 : INFO : topic #1 (0.100): 0.023*"mining" + 0.021*"apple" + 0.019*"scientific" + 0.013*"category" + 0.012*"metrics" + 0.011*"post" + 0.009*"additional" + 0.009*"thinking" + 0.009*"weekly" + 0.009*"number" 2019-03-07 19:38:22,413 : INFO : topic #3 (0.100): 0.021*"search" + 0.009*"http" + 0.008*"query" + 0.008*"computational" + 0.006*"azure" + 0.006*"empower" + 0.006*"global" + 0.005*"expert" + 0.005*"retrieval" + 0.005*"insurance" 2019-03-07 19:38:22,413 : INFO : topic #4 (0.100): 0.021*"mobility" + 0.011*"analytic" + 0.011*"domain" + 0.010*"scalable" + 0.010*"growing" + 0.010*"efficient" + 0.008*"revolutionize" + 0.008*"collaborative" + 0.008*"transportation" + 0.008*"modern" 2019-03-07 19:38:22,416 : INFO : topic #7 (0.100): 0.014*"sales" + 0.010*"enterprise" + 0.010*"user" + 0.009*"comprehension" + 0.009*"space" + 0.008*"rule" + 0.008*"something" + 0.008*"difference" + 0.007*"transportation" + 0.007*"reasoning" 2019-03-07 19:38:22,417 : INFO : topic #2 (0.100): 0.019*"capital" + 0.009*"content" + 0.009*"continuous" + 0.008*"right" + 0.008*"succeed" + 0.007*"docker" + 0.007*"connect" + 0.007*"devops" + 0.006*"passionate" + 0.006*"pipeline" 2019-03-07 19:38:22,418 : INFO : topic diff=0.072000, rho=0.250000 2019-03-07 19:38:22,419 : INFO : saving LdaState object under model10.gensim.state, separately None 2019-03-07 19:38:22,472 : INFO : saved model10.gensim.state 2019-03-07 19:38:22,484 : INFO : saving LdaModel object under model10.gensim, separately ['expElogbeta', 'sstats'] 2019-03-07 19:38:22,485 : INFO : storing np array 'expElogbeta' to model10.gensim.expElogbeta.npy 2019-03-07 19:38:22,514 : INFO : not storing attribute state 2019-03-07 19:38:22,515 : INFO : not storing attribute dispatcher 2019-03-07 19:38:22,516 : INFO : not storing attribute id2word 2019-03-07 19:38:22,523 : INFO : saved model10.gensim 2019-03-07 19:38:22,525 : INFO : topic #0 (0.100): 0.018*"equipment" + 0.015*"guest" + 0.012*"frequently" + 0.012*"english" 2019-03-07 19:38:22,528 : INFO : topic #1 (0.100): 0.023*"mining" + 0.021*"apple" + 0.019*"scientific" + 0.013*"category" 2019-03-07 19:38:22,529 : INFO : topic #2 (0.100): 0.019*"capital" + 0.009*"content" + 0.009*"continuous" + 0.008*"right" 2019-03-07 19:38:22,530 : INFO : topic #3 (0.100): 0.021*"search" + 0.009*"http" + 0.008*"query" + 0.008*"computational" 2019-03-07 19:38:22,531 : INFO : topic #4 (0.100): 0.021*"mobility" + 0.011*"analytic" + 0.011*"domain" + 0.010*"scalable" 2019-03-07 19:38:22,532 : INFO : topic #5 (0.100): 0.012*"strategy" + 0.010*"order" + 0.009*"healthcare" + 0.009*"simulation" 2019-03-07 19:38:22,533 : INFO : topic #6 (0.100): 0.018*"amazon" + 0.015*"marketing" + 0.013*"strategy" + 0.012*"advertising" 2019-03-07 19:38:22,534 : INFO : topic #7 (0.100): 0.014*"sales" + 0.010*"enterprise" + 0.010*"user" + 0.009*"comprehension" 2019-03-07 19:38:22,536 : INFO : topic #8 (0.100): 0.018*"student" + 0.016*"clinical" + 0.014*"director" + 0.012*"activity" 2019-03-07 19:38:22,537 : INFO : topic #9 (0.100): 0.016*"alexa" + 0.014*"recommendation" + 0.011*"reporting" + 0.010*"engine"
(0, '0.018*"equipment" + 0.015*"guest" + 0.012*"frequently" + 0.012*"english"') (1, '0.023*"mining" + 0.021*"apple" + 0.019*"scientific" + 0.013*"category"') (2, '0.019*"capital" + 0.009*"content" + 0.009*"continuous" + 0.008*"right"') (3, '0.021*"search" + 0.009*"http" + 0.008*"query" + 0.008*"computational"') (4, '0.021*"mobility" + 0.011*"analytic" + 0.011*"domain" + 0.010*"scalable"') (5, '0.012*"strategy" + 0.010*"order" + 0.009*"healthcare" + 0.009*"simulation"') (6, '0.018*"amazon" + 0.015*"marketing" + 0.013*"strategy" + 0.012*"advertising"') (7, '0.014*"sales" + 0.010*"enterprise" + 0.010*"user" + 0.009*"comprehension"') (8, '0.018*"student" + 0.016*"clinical" + 0.014*"director" + 0.012*"activity"') (9, '0.016*"alexa" + 0.014*"recommendation" + 0.011*"reporting" + 0.010*"engine"')
In [62]:
import warnings
warnings.filterwarnings('ignore') # To ignore all warnings that arise here to enhance clarity
# Convert to array
docs =array(X['job_description'])
In [63]:
# Define function for tokenize and lemmatizing
def docs_preprocessor(docs):
tokenizer = RegexpTokenizer(r'\w+')
for idx in range(len(docs)):
docs[idx] = docs[idx].lower() # Convert to lowercase.
docs[idx] = tokenizer.tokenize(docs[idx]) # Split into words.
# Remove numbers, but not words that contain numbers.
docs = [[token for token in doc if not token.isdigit()] for doc in docs]
# Remove words that are only one character.
docs = [[token for token in doc if len(token) > 3] for doc in docs]
# Lemmatize all words in documents.
lemmatizer = WordNetLemmatizer()
docs = [[lemmatizer.lemmatize(token) for token in doc] for doc in docs]
return docs
In [64]:
# Perform function on our document
docs = docs_preprocessor(docs)
In [65]:
# Create Biagram & Trigram Models
# Add bigrams and trigrams to docs,minimum count 10 means only that appear 10 times or more.
bigram = Phrases(docs, min_count=10)
trigram = Phrases(bigram[docs])
for idx in range(len(docs)):
for token in bigram[docs[idx]]:
if '_' in token:
# Token is a bigram, add to document.
docs[idx].append(token)
for token in trigram[docs[idx]]:
if '_' in token:
# Token is a bigram, add to document.
docs[idx].append(token)
2019-03-07 19:38:35,554 : INFO : collecting all words and their counts 2019-03-07 19:38:35,561 : INFO : PROGRESS: at sentence #0, processed 0 words and 0 word types 2019-03-07 19:38:44,319 : INFO : collected 422880 word types from a corpus of 1335495 words (unigram + bigrams) and 3701 sentences 2019-03-07 19:38:44,323 : INFO : using 422880 counts as vocab in Phrases<0 vocab, min_count=10, threshold=10.0, max_vocab_size=40000000> 2019-03-07 19:38:44,329 : INFO : collecting all words and their counts 2019-03-07 19:38:44,347 : INFO : PROGRESS: at sentence #0, processed 0 words and 0 word types 2019-03-07 19:39:05,498 : INFO : collected 472563 word types from a corpus of 1148603 words (unigram + bigrams) and 3701 sentences 2019-03-07 19:39:05,504 : INFO : using 472563 counts as vocab in Phrases<0 vocab, min_count=5, threshold=10.0, max_vocab_size=40000000>
In [66]:
# Remove rare & common tokens
# Create a dictionary representation of the documents.
dictionary = Dictionary(docs)
dictionary.filter_extremes(no_below=10, no_above=0.2)
2019-03-07 19:39:21,752 : INFO : adding document #0 to Dictionary(0 unique tokens: [])
2019-03-07 19:39:25,950 : INFO : built Dictionary(33669 unique tokens: ['able', 'about', 'abreast', 'access', 'accommodation']...) from 3701 documents (total 1921338 corpus positions)
2019-03-07 19:39:26,360 : INFO : discarding 22851 tokens: [('able', 881), ('about', 1591), ('algorithm', 1410), ('analysis', 1719), ('analytics', 1395), ('applicant', 1216), ('application', 1817), ('apply', 1093), ('approach', 837), ('area', 1317)]...
2019-03-07 19:39:26,361 : INFO : keeping 10818 tokens which were in no less than 10 and no more than 740 (=20.0%) documents
2019-03-07 19:39:26,420 : INFO : resulting dictionary: Dictionary(10818 unique tokens: ['abreast', 'access', 'accommodation', 'accommodation_apply', 'accommodation_request']...)
In [67]:
#Create dictionary and corpus required for Topic Modeling
corpus = [dictionary.doc2bow(doc) for doc in docs]
print('Number of unique tokens: %d' % len(dictionary))
print('Number of documents: %d' % len(corpus))
print(corpus[:1])
Number of unique tokens: 10818 Number of documents: 3701 [[(0, 1), (1, 1), (2, 3), (3, 1), (4, 3), (5, 1), (6, 1), (7, 1), (8, 1), (9, 1), (10, 1), (11, 1), (12, 1), (13, 1), (14, 1), (15, 2), (16, 6), (17, 1), (18, 1), (19, 2), (20, 1), (21, 1), (22, 1), (23, 1), (24, 3), (25, 1), (26, 3), (27, 1), (28, 1), (29, 2), (30, 3), (31, 1), (32, 1), (33, 1), (34, 3), (35, 1), (36, 1), (37, 3), (38, 2), (39, 1), (40, 1), (41, 4), (42, 1), (43, 1), (44, 1), (45, 1), (46, 1), (47, 1), (48, 1), (49, 1), (50, 1), (51, 1), (52, 3), (53, 1), (54, 1), (55, 3), (56, 1), (57, 1), (58, 1), (59, 2), (60, 1), (61, 1), (62, 1), (63, 1), (64, 1), (65, 1), (66, 2), (67, 1), (68, 3), (69, 1), (70, 2), (71, 3), (72, 1), (73, 1), (74, 1), (75, 1), (76, 1), (77, 1), (78, 2), (79, 1), (80, 1), (81, 1), (82, 1), (83, 1), (84, 1), (85, 1), (86, 1), (87, 1), (88, 2), (89, 4), (90, 1), (91, 2), (92, 1), (93, 1), (94, 1), (95, 1), (96, 1), (97, 1), (98, 1), (99, 1), (100, 1), (101, 2), (102, 1), (103, 1), (104, 1), (105, 2), (106, 1), (107, 1), (108, 1), (109, 3), (110, 6), (111, 1), (112, 3), (113, 4), (114, 1), (115, 1), (116, 2), (117, 2), (118, 1), (119, 1), (120, 1), (121, 3), (122, 1), (123, 3), (124, 2), (125, 2), (126, 1), (127, 1), (128, 1), (129, 6), (130, 1), (131, 1), (132, 1), (133, 1), (134, 3), (135, 1), (136, 1), (137, 1), (138, 1), (139, 1), (140, 3), (141, 1), (142, 1), (143, 2), (144, 2), (145, 1), (146, 1), (147, 1), (148, 1), (149, 1), (150, 1), (151, 1), (152, 3), (153, 1), (154, 1), (155, 2), (156, 2), (157, 3), (158, 3), (159, 3), (160, 1), (161, 1), (162, 1), (163, 1), (164, 1), (165, 1), (166, 2), (167, 1), (168, 1), (169, 1), (170, 2), (171, 1), (172, 1), (173, 1), (174, 3), (175, 2), (176, 1), (177, 1), (178, 3), (179, 1), (180, 3), (181, 1), (182, 1), (183, 3), (184, 2), (185, 1), (186, 1), (187, 1), (188, 3), (189, 1), (190, 3), (191, 3), (192, 1), (193, 1), (194, 1), (195, 1), (196, 1), (197, 1), (198, 1), (199, 1), (200, 1), (201, 1), (202, 1), (203, 1), (204, 2), (205, 2), (206, 1), (207, 1), (208, 1), (209, 3), (210, 1), (211, 1), (212, 1), (213, 1), (214, 1), (215, 1), (216, 1), (217, 3), (218, 1), (219, 1), (220, 2), (221, 1), (222, 1), (223, 3), (224, 3), (225, 1), (226, 1), (227, 1), (228, 1), (229, 4), (230, 1), (231, 1), (232, 2), (233, 1), (234, 9), (235, 1), (236, 1), (237, 1), (238, 3), (239, 3), (240, 1), (241, 1), (242, 1), (243, 1), (244, 1), (245, 3), (246, 2), (247, 3), (248, 2), (249, 1), (250, 1), (251, 1), (252, 2), (253, 1), (254, 2), (255, 6), (256, 1), (257, 3), (258, 1), (259, 3), (260, 1), (261, 3), (262, 1), (263, 1), (264, 1), (265, 3), (266, 1), (267, 3), (268, 1), (269, 1), (270, 1), (271, 1), (272, 1), (273, 3), (274, 2), (275, 1), (276, 2), (277, 1), (278, 1), (279, 1), (280, 1), (281, 1), (282, 1), (283, 1), (284, 1), (285, 1), (286, 1), (287, 2), (288, 1), (289, 3), (290, 6), (291, 1)]]
In [68]:
# Set parameters.
num_topics = 5
chunksize = 500
passes = 20
iterations = 400
eval_every = 1
In [69]:
# Make a index to word dictionary.
temp = dictionary[0] # only to "load" the dictionary.
id2word = dictionary.id2token
lda_model = LdaModel(corpus=corpus, id2word=id2word, chunksize=chunksize, \
alpha='auto', eta='auto', \
iterations=iterations, num_topics=num_topics, \
passes=passes, eval_every=eval_every)
2019-03-07 19:39:28,379 : INFO : using autotuned alpha, starting with [0.2, 0.2, 0.2, 0.2, 0.2] 2019-03-07 19:39:28,387 : INFO : using serial LDA version on this node 2019-03-07 19:39:28,400 : INFO : running online (multi-pass) LDA training, 5 topics, 20 passes over the supplied corpus of 3701 documents, updating model once every 500 documents, evaluating perplexity every 500 documents, iterating 400x with a convergence threshold of 0.001000 2019-03-07 19:39:34,050 : INFO : -9.822 per-word bound, 905.1 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:39:34,051 : INFO : PROGRESS: pass 0, at document #500/3701 2019-03-07 19:39:37,375 : INFO : optimized alpha [0.11315753, 0.10469783, 0.06972645, 0.096747234, 0.07595654] 2019-03-07 19:39:37,384 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:39:37,393 : INFO : topic #0 (0.113): 0.007*"data_scientist" + 0.004*"this_role" + 0.004*"artificial_intelligence" + 0.003*"google" + 0.003*"large_scale" + 0.003*"software_engineer" + 0.003*"team_member" + 0.003*"communication_skill" + 0.002*"data_set" + 0.002*"problem_solving" 2019-03-07 19:39:37,398 : INFO : topic #1 (0.105): 0.003*"team_member" + 0.003*"cutting_edge" + 0.003*"collaborate_with" + 0.003*"familiarity_with" + 0.003*"communication_skill" + 0.002*"artificial_intelligence" + 0.002*"search" + 0.002*"healthcare" + 0.002*"data_mining" + 0.002*"software_development" 2019-03-07 19:39:37,399 : INFO : topic #2 (0.070): 0.006*"data_scientist" + 0.005*"large_scale" + 0.004*"software_engineer" + 0.004*"artificial_intelligence" + 0.004*"google" + 0.003*"next_generation" + 0.003*"computer_vision" + 0.003*"familiar_with" + 0.003*"this_role" + 0.003*"communication_skill" 2019-03-07 19:39:37,401 : INFO : topic #3 (0.097): 0.005*"data_scientist" + 0.003*"large_scale" + 0.003*"software_engineer" + 0.003*"more_than" + 0.003*"open_source" + 0.002*"artificial_intelligence" + 0.002*"google" + 0.002*"information_retrieval" + 0.002*"university" + 0.002*"collaborate_with" 2019-03-07 19:39:37,403 : INFO : topic #4 (0.076): 0.005*"data_scientist" + 0.004*"artificial_intelligence" + 0.003*"software_development" + 0.003*"next_generation" + 0.003*"collaborate_with" + 0.003*"programming_language" + 0.003*"google" + 0.003*"this_role" + 0.003*"large_scale" + 0.003*"security" 2019-03-07 19:39:37,405 : INFO : topic diff=3.591464, rho=1.000000 2019-03-07 19:39:39,228 : INFO : -10.168 per-word bound, 1150.7 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:39:39,229 : INFO : PROGRESS: pass 0, at document #1000/3701 2019-03-07 19:39:40,471 : INFO : optimized alpha [0.14940397, 0.14848065, 0.084556095, 0.12724756, 0.106755726] 2019-03-07 19:39:40,473 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:39:40,479 : INFO : topic #0 (0.149): 0.009*"data_scientist" + 0.007*"pattern_recognition" + 0.004*"data_set" + 0.004*"this_role" + 0.003*"problem_solving" + 0.003*"statistical_analysis" + 0.003*"text_mining" + 0.003*"artificial_intelligence" + 0.003*"master_degree" + 0.003*"data_mining" 2019-03-07 19:39:40,481 : INFO : topic #1 (0.148): 0.005*"data_mining" + 0.004*"mining" + 0.003*"text_mining" + 0.003*"data_set" + 0.003*"familiarity_with" + 0.003*"team_member" + 0.002*"problem_solving" + 0.002*"patient" + 0.002*"health" + 0.002*"risk" 2019-03-07 19:39:40,483 : INFO : topic #2 (0.085): 0.005*"data_scientist" + 0.005*"computer_vision" + 0.004*"large_scale" + 0.004*"data_mining" + 0.004*"pattern_recognition" + 0.004*"software_engineer" + 0.004*"google" + 0.003*"artificial_intelligence" + 0.003*"mining" + 0.003*"problem_solving" 2019-03-07 19:39:40,485 : INFO : topic #3 (0.127): 0.005*"data_scientist" + 0.003*"data_mining" + 0.003*"advanced_analytics" + 0.003*"text_mining" + 0.003*"large_scale" + 0.002*"more_than" + 0.002*"mining" + 0.002*"university" + 0.002*"predictive" + 0.002*"real_time" 2019-03-07 19:39:40,487 : INFO : topic #4 (0.107): 0.013*"pattern_recognition" + 0.006*"signal_processing" + 0.004*"data_scientist" + 0.004*"security" + 0.003*"software_development" + 0.003*"real_time" + 0.003*"problem_solving" + 0.003*"familiarity_with" + 0.003*"data_mining" + 0.003*"artificial_intelligence" 2019-03-07 19:39:40,488 : INFO : topic diff=4.585858, rho=0.707107 2019-03-07 19:39:42,161 : INFO : -8.731 per-word bound, 424.8 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:39:42,161 : INFO : PROGRESS: pass 0, at document #1500/3701 2019-03-07 19:39:43,499 : INFO : optimized alpha [0.17098062, 0.17016962, 0.10443825, 0.15243292, 0.12103283] 2019-03-07 19:39:43,500 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:39:43,506 : INFO : topic #0 (0.171): 0.008*"data_scientist" + 0.004*"this_role" + 0.004*"data_set" + 0.003*"pattern_recognition" + 0.003*"artificial_intelligence" + 0.003*"problem_solving" + 0.003*"passionate_about" + 0.002*"familiarity_with" + 0.002*"statistical_analysis" + 0.002*"collaborate_with" 2019-03-07 19:39:43,508 : INFO : topic #1 (0.170): 0.004*"data_mining" + 0.003*"familiarity_with" + 0.003*"data_set" + 0.002*"mining" + 0.002*"without_regard" + 0.002*"team_member" + 0.002*"united_state" + 0.002*"medical" + 0.002*"collaborate_with" + 0.002*"work_closely" 2019-03-07 19:39:43,510 : INFO : topic #2 (0.104): 0.006*"large_scale" + 0.005*"computer_vision" + 0.004*"data_scientist" + 0.004*"artificial_intelligence" + 0.004*"google" + 0.004*"software_engineer" + 0.003*"cutting_edge" + 0.003*"this_role" + 0.003*"next_generation" + 0.003*"cross_functional" 2019-03-07 19:39:43,512 : INFO : topic #3 (0.152): 0.004*"data_scientist" + 0.002*"around_world" + 0.002*"more_than" + 0.002*"together" + 0.002*"data_mining" + 0.002*"large_scale" + 0.002*"career" + 0.002*"university" + 0.002*"open_source" + 0.002*"internship" 2019-03-07 19:39:43,514 : INFO : topic #4 (0.121): 0.008*"pattern_recognition" + 0.005*"signal_processing" + 0.003*"familiarity_with" + 0.003*"real_time" + 0.003*"artificial_intelligence" + 0.003*"data_scientist" + 0.003*"security" + 0.003*"software_development" + 0.003*"sale" + 0.003*"candidate_will" 2019-03-07 19:39:43,516 : INFO : topic diff=1.327975, rho=0.577350 2019-03-07 19:39:45,078 : INFO : -9.111 per-word bound, 553.1 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:39:45,080 : INFO : PROGRESS: pass 0, at document #2000/3701 2019-03-07 19:39:46,300 : INFO : optimized alpha [0.20990394, 0.20145753, 0.13000019, 0.17979848, 0.14747994] 2019-03-07 19:39:46,302 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:39:46,310 : INFO : topic #0 (0.210): 0.008*"data_scientist" + 0.004*"this_role" + 0.004*"data_set" + 0.003*"problem_solving" + 0.003*"familiarity_with" + 0.003*"databricks" + 0.003*"bachelor_degree" + 0.003*"collaborate_with" + 0.002*"least_year" + 0.002*"team_member" 2019-03-07 19:39:46,312 : INFO : topic #1 (0.201): 0.007*"text_analytics" + 0.003*"familiarity_with" + 0.003*"data_mining" + 0.003*"data_set" + 0.003*"team_member" + 0.002*"risk" + 0.002*"text" + 0.002*"without_regard" + 0.002*"collaborate_with" + 0.002*"medical" 2019-03-07 19:39:46,314 : INFO : topic #2 (0.130): 0.017*"apache_spark" + 0.007*"apache" + 0.006*"large_scale" + 0.005*"software_engineer" + 0.004*"data_scientist" + 0.004*"software_development" + 0.003*"computer_vision" + 0.003*"google" + 0.003*"open_source" + 0.003*"artificial_intelligence" 2019-03-07 19:39:46,316 : INFO : topic #3 (0.180): 0.003*"data_scientist" + 0.003*"more_than" + 0.003*"open_source" + 0.002*"around_world" + 0.002*"together" + 0.002*"career" + 0.002*"advanced_analytics" + 0.002*"large_scale" + 0.002*"university" + 0.002*"real_time" 2019-03-07 19:39:46,319 : INFO : topic #4 (0.147): 0.004*"software_development" + 0.004*"pattern_recognition" + 0.004*"real_time" + 0.004*"familiarity_with" + 0.003*"best_practice" + 0.003*"security" + 0.003*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"data_scientist" + 0.003*"sale" 2019-03-07 19:39:46,320 : INFO : topic diff=1.229545, rho=0.500000 2019-03-07 19:39:48,259 : INFO : -10.167 per-word bound, 1149.7 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:39:48,260 : INFO : PROGRESS: pass 0, at document #2500/3701 2019-03-07 19:39:49,132 : INFO : optimized alpha [0.23773678, 0.21620013, 0.16551629, 0.19884405, 0.1819213] 2019-03-07 19:39:49,133 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:39:49,140 : INFO : topic #0 (0.238): 0.007*"data_scientist" + 0.006*"least_year" + 0.004*"this_role" + 0.003*"data_set" + 0.003*"bachelor_degree" + 0.003*"team_member" + 0.003*"capital" + 0.002*"collaborate_with" + 0.002*"familiarity_with" + 0.002*"open_source" 2019-03-07 19:39:49,142 : INFO : topic #1 (0.216): 0.004*"text_analytics" + 0.003*"familiarity_with" + 0.003*"team_member" + 0.002*"data_mining" + 0.002*"without_regard" + 0.002*"data_set" + 0.002*"data_warehouse" + 0.002*"risk" + 0.002*"speech_recognition" + 0.002*"microsoft" 2019-03-07 19:39:49,143 : INFO : topic #2 (0.166): 0.027*"apache_spark" + 0.011*"apache" + 0.007*"software_engineer" + 0.007*"large_scale" + 0.005*"software_development" + 0.004*"open_source" + 0.004*"data_scientist" + 0.003*"distributed_system" + 0.003*"next_generation" + 0.003*"real_time" 2019-03-07 19:39:49,145 : INFO : topic #3 (0.199): 0.004*"open_source" + 0.003*"data_scientist" + 0.003*"more_than" + 0.003*"deloitte" + 0.002*"open" + 0.002*"together" + 0.002*"around_world" + 0.002*"real_time" + 0.002*"career" + 0.002*"large_scale" 2019-03-07 19:39:49,148 : INFO : topic #4 (0.182): 0.006*"software_development" + 0.005*"security" + 0.004*"apache" + 0.004*"real_time" + 0.004*"best_practice" + 0.003*"familiarity_with" + 0.003*"integration" + 0.003*"agile" + 0.003*"bachelor_degree" + 0.002*"enterprise" 2019-03-07 19:39:49,149 : INFO : topic diff=2.747468, rho=0.447214 2019-03-07 19:39:50,908 : INFO : -9.690 per-word bound, 825.7 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:39:50,909 : INFO : PROGRESS: pass 0, at document #3000/3701 2019-03-07 19:39:51,744 : INFO : optimized alpha [0.27179182, 0.27408528, 0.18603311, 0.20536532, 0.20808455] 2019-03-07 19:39:51,745 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:39:51,752 : INFO : topic #0 (0.272): 0.006*"least_year" + 0.005*"related_document" + 0.005*"data_scientist" + 0.004*"this_role" + 0.003*"voice" + 0.003*"information_idea" + 0.003*"bachelor_degree" + 0.003*"alexa" + 0.003*"team_member" + 0.002*"data_set" 2019-03-07 19:39:51,753 : INFO : topic #1 (0.274): 0.004*"speech_recognition" + 0.004*"others" + 0.003*"essential_function" + 0.003*"rule" + 0.003*"must_able" + 0.002*"duty" + 0.002*"high_school" + 0.002*"equipment" + 0.002*"report" + 0.002*"essential" 2019-03-07 19:39:51,754 : INFO : topic #2 (0.186): 0.018*"apache_spark" + 0.008*"apache" + 0.007*"software_engineer" + 0.006*"large_scale" + 0.006*"software_development" + 0.004*"open_source" + 0.004*"amazon" + 0.003*"speech_recognition" + 0.003*"distributed_system" + 0.003*"artificial_intelligence" 2019-03-07 19:39:51,756 : INFO : topic #3 (0.205): 0.002*"open_source" + 0.002*"more_than" + 0.002*"center" + 0.002*"around_world" + 0.002*"data_scientist" + 0.002*"student" + 0.002*"food" + 0.002*"contact_center" + 0.002*"nursing" + 0.002*"together" 2019-03-07 19:39:51,758 : INFO : topic #4 (0.208): 0.006*"software_development" + 0.005*"understand_speech" + 0.004*"security" + 0.003*"best_practice" + 0.003*"real_time" + 0.003*"familiarity_with" + 0.003*"apache" + 0.002*"agile" + 0.002*"equipment" + 0.002*"bachelor_degree" 2019-03-07 19:39:51,759 : INFO : topic diff=1.495942, rho=0.408248 2019-03-07 19:39:55,561 : INFO : -8.671 per-word bound, 407.6 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:39:55,562 : INFO : PROGRESS: pass 0, at document #3500/3701 2019-03-07 19:39:56,840 : INFO : optimized alpha [0.30695656, 0.2530557, 0.21038851, 0.234849, 0.22022554] 2019-03-07 19:39:56,841 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:39:56,854 : INFO : topic #0 (0.307): 0.007*"data_scientist" + 0.005*"neural_network" + 0.004*"least_year" + 0.004*"this_role" + 0.004*"data_set" + 0.003*"bachelor_degree" + 0.003*"related_document" + 0.003*"master_degree" + 0.003*"problem_solving" + 0.003*"familiarity_with" 2019-03-07 19:39:56,856 : INFO : topic #1 (0.253): 0.004*"speech_recognition" + 0.004*"essential_function" + 0.003*"others" + 0.003*"duty" + 0.003*"must_able" + 0.003*"care" + 0.002*"equipment" + 0.002*"rule" + 0.002*"report" + 0.002*"essential" 2019-03-07 19:39:56,858 : INFO : topic #2 (0.210): 0.010*"apache_spark" + 0.007*"computer_vision" + 0.006*"software_development" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"artificial_intelligence" + 0.004*"apache" + 0.003*"next_generation" + 0.003*"cutting_edge" + 0.003*"distributed_system" 2019-03-07 19:39:56,860 : INFO : topic #3 (0.235): 0.005*"neural_network" + 0.003*"student" + 0.002*"university" + 0.002*"data_scientist" + 0.002*"around_world" + 0.002*"nursing" + 0.002*"more_than" + 0.002*"center" + 0.002*"career" + 0.002*"full_time" 2019-03-07 19:39:56,862 : INFO : topic #4 (0.220): 0.006*"software_development" + 0.004*"understand_speech" + 0.004*"security" + 0.003*"familiarity_with" + 0.003*"real_time" + 0.003*"best_practice" + 0.003*"signal_processing" + 0.003*"neural_network" + 0.002*"bachelor_degree" + 0.002*"candidate_will" 2019-03-07 19:39:56,864 : INFO : topic diff=0.399263, rho=0.377964 2019-03-07 19:39:57,426 : INFO : -8.444 per-word bound, 348.2 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:39:57,428 : INFO : PROGRESS: pass 0, at document #3701/3701 2019-03-07 19:39:57,670 : INFO : optimized alpha [0.3265374, 0.21649957, 0.23703344, 0.256222, 0.2329425] 2019-03-07 19:39:57,670 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:39:57,676 : INFO : topic #0 (0.327): 0.009*"data_scientist" + 0.007*"neural_network" + 0.005*"data_set" + 0.004*"least_year" + 0.004*"this_role" + 0.003*"data_mining" + 0.003*"team_member" + 0.003*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"master_degree" 2019-03-07 19:39:57,678 : INFO : topic #1 (0.216): 0.004*"essential_function" + 0.004*"speech_recognition" + 0.003*"others" + 0.003*"duty" + 0.003*"must_able" + 0.003*"care" + 0.002*"procedure" + 0.002*"equipment" + 0.002*"essential" + 0.002*"report" 2019-03-07 19:39:57,678 : INFO : topic #2 (0.237): 0.010*"computer_vision" + 0.007*"apache_spark" + 0.006*"artificial_intelligence" + 0.006*"large_scale" + 0.005*"software_development" + 0.005*"software_engineer" + 0.004*"cutting_edge" + 0.004*"familiarity_with" + 0.004*"world_class" + 0.004*"next_generation" 2019-03-07 19:39:57,681 : INFO : topic #3 (0.256): 0.007*"neural_network" + 0.003*"university" + 0.003*"student" + 0.002*"full_time" + 0.002*"more_than" + 0.002*"around_world" + 0.002*"data_scientist" + 0.002*"center" + 0.002*"cover_letter" + 0.002*"together" 2019-03-07 19:39:57,682 : INFO : topic #4 (0.233): 0.005*"software_development" + 0.004*"neural_network" + 0.004*"security" + 0.004*"familiarity_with" + 0.003*"signal_processing" + 0.003*"real_time" + 0.003*"control" + 0.003*"hardware" + 0.003*"understand_speech" + 0.002*"best_practice" 2019-03-07 19:39:57,684 : INFO : topic diff=0.347672, rho=0.353553 2019-03-07 19:39:58,994 : INFO : -8.411 per-word bound, 340.3 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:39:58,994 : INFO : PROGRESS: pass 1, at document #500/3701 2019-03-07 19:39:59,610 : INFO : optimized alpha [0.31042397, 0.16607589, 0.23357175, 0.2271381, 0.18579748] 2019-03-07 19:39:59,611 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:39:59,617 : INFO : topic #0 (0.310): 0.010*"data_scientist" + 0.005*"neural_network" + 0.005*"data_set" + 0.004*"this_role" + 0.004*"least_year" + 0.003*"team_member" + 0.003*"problem_solving" + 0.003*"data_mining" + 0.003*"advanced_analytics" + 0.003*"master_degree" 2019-03-07 19:39:59,619 : INFO : topic #1 (0.166): 0.004*"essential_function" + 0.003*"speech_recognition" + 0.003*"others" + 0.003*"duty" + 0.003*"care" + 0.003*"must_able" + 0.002*"report" + 0.002*"medical" + 0.002*"clinical" + 0.002*"procedure" 2019-03-07 19:39:59,620 : INFO : topic #2 (0.234): 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"software_development" + 0.004*"cutting_edge" + 0.004*"next_generation" + 0.004*"apache_spark" + 0.004*"google" + 0.003*"world_class" 2019-03-07 19:39:59,622 : INFO : topic #3 (0.227): 0.005*"neural_network" + 0.004*"university" + 0.003*"student" + 0.003*"full_time" + 0.003*"more_than" + 0.002*"cover_letter" + 0.002*"career" + 0.002*"health" + 0.002*"around_world" + 0.002*"center" 2019-03-07 19:39:59,624 : INFO : topic #4 (0.186): 0.005*"software_development" + 0.004*"security" + 0.003*"familiarity_with" + 0.003*"neural_network" + 0.003*"real_time" + 0.003*"signal_processing" + 0.002*"best_practice" + 0.002*"control" + 0.002*"artificial_intelligence" + 0.002*"candidate_will" 2019-03-07 19:39:59,626 : INFO : topic diff=0.285183, rho=0.326129 2019-03-07 19:40:00,619 : INFO : -8.393 per-word bound, 336.1 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:40:00,620 : INFO : PROGRESS: pass 1, at document #1000/3701 2019-03-07 19:40:01,203 : INFO : optimized alpha [0.34463173, 0.17023258, 0.21618046, 0.2433531, 0.20777011] 2019-03-07 19:40:01,204 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:01,210 : INFO : topic #0 (0.345): 0.010*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"neural_network" + 0.004*"this_role" + 0.003*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"mining" + 0.003*"predictive" + 0.003*"text_mining" 2019-03-07 19:40:01,211 : INFO : topic #1 (0.170): 0.003*"duty" + 0.003*"essential_function" + 0.003*"patient" + 0.003*"procedure" + 0.003*"others" + 0.003*"policy_procedure" + 0.003*"report" + 0.003*"medical" + 0.003*"care" + 0.003*"speech_recognition" 2019-03-07 19:40:01,212 : INFO : topic #2 (0.216): 0.008*"computer_vision" + 0.007*"large_scale" + 0.006*"software_engineer" + 0.006*"artificial_intelligence" + 0.005*"software_development" + 0.004*"cutting_edge" + 0.004*"google" + 0.004*"next_generation" + 0.003*"apache_spark" + 0.003*"world_class" 2019-03-07 19:40:01,214 : INFO : topic #3 (0.243): 0.004*"university" + 0.004*"neural_network" + 0.003*"full_time" + 0.003*"more_than" + 0.003*"student" + 0.003*"health" + 0.002*"successful_candidate" + 0.002*"cover_letter" + 0.002*"career" + 0.002*"around_world" 2019-03-07 19:40:01,216 : INFO : topic #4 (0.208): 0.008*"pattern_recognition" + 0.005*"security" + 0.005*"signal_processing" + 0.005*"software_development" + 0.004*"familiarity_with" + 0.003*"real_time" + 0.003*"integration" + 0.003*"candidate_will" + 0.003*"signal" + 0.003*"control" 2019-03-07 19:40:01,217 : INFO : topic diff=0.303877, rho=0.326129 2019-03-07 19:40:02,220 : INFO : -8.392 per-word bound, 336.0 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:40:02,221 : INFO : PROGRESS: pass 1, at document #1500/3701 2019-03-07 19:40:02,741 : INFO : optimized alpha [0.36169082, 0.15989709, 0.24413353, 0.2616027, 0.20482634] 2019-03-07 19:40:02,742 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:02,748 : INFO : topic #0 (0.362): 0.010*"data_scientist" + 0.006*"data_set" + 0.004*"data_mining" + 0.004*"this_role" + 0.003*"problem_solving" + 0.003*"neural_network" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"mining" + 0.003*"statistical_analysis" 2019-03-07 19:40:02,749 : INFO : topic #1 (0.160): 0.003*"duty" + 0.003*"essential_function" + 0.003*"patient" + 0.003*"care" + 0.003*"medical" + 0.003*"others" + 0.003*"procedure" + 0.003*"report" + 0.003*"must_able" + 0.003*"clinical" 2019-03-07 19:40:02,750 : INFO : topic #2 (0.244): 0.007*"computer_vision" + 0.006*"large_scale" + 0.005*"artificial_intelligence" + 0.005*"software_engineer" + 0.004*"cutting_edge" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"google" + 0.003*"world_class" + 0.003*"familiarity_with" 2019-03-07 19:40:02,753 : INFO : topic #3 (0.262): 0.004*"university" + 0.003*"full_time" + 0.003*"student" + 0.003*"more_than" + 0.003*"neural_network" + 0.003*"health" + 0.002*"around_world" + 0.002*"career" + 0.002*"cover_letter" + 0.002*"internship" 2019-03-07 19:40:02,755 : INFO : topic #4 (0.205): 0.007*"pattern_recognition" + 0.005*"security" + 0.005*"signal_processing" + 0.004*"software_development" + 0.004*"familiarity_with" + 0.003*"real_time" + 0.003*"candidate_will" + 0.003*"signal" + 0.002*"integration" + 0.002*"applicant_will" 2019-03-07 19:40:02,756 : INFO : topic diff=0.239712, rho=0.326129 2019-03-07 19:40:03,915 : INFO : -8.462 per-word bound, 352.7 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:40:03,916 : INFO : PROGRESS: pass 1, at document #2000/3701 2019-03-07 19:40:04,491 : INFO : optimized alpha [0.4124678, 0.1623696, 0.2711791, 0.2738525, 0.2248044] 2019-03-07 19:40:04,493 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:04,498 : INFO : topic #0 (0.412): 0.009*"data_scientist" + 0.005*"data_set" + 0.004*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"bachelor_degree" + 0.003*"team_member" + 0.003*"predictive" + 0.003*"least_year" 2019-03-07 19:40:04,500 : INFO : topic #1 (0.162): 0.004*"text_analytics" + 0.003*"duty" + 0.003*"medical" + 0.003*"essential_function" + 0.003*"report" + 0.003*"care" + 0.003*"patient" + 0.003*"others" + 0.003*"must_able" + 0.003*"procedure" 2019-03-07 19:40:04,502 : INFO : topic #2 (0.271): 0.010*"apache_spark" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"computer_vision" + 0.005*"software_development" + 0.005*"artificial_intelligence" + 0.004*"cutting_edge" + 0.004*"apache" + 0.003*"open_source" + 0.003*"next_generation" 2019-03-07 19:40:04,503 : INFO : topic #3 (0.274): 0.003*"university" + 0.003*"more_than" + 0.003*"full_time" + 0.003*"student" + 0.003*"health" + 0.003*"internship" + 0.002*"career" + 0.002*"around_world" + 0.002*"neural_network" + 0.002*"successful_candidate" 2019-03-07 19:40:04,505 : INFO : topic #4 (0.225): 0.005*"software_development" + 0.005*"security" + 0.005*"pattern_recognition" + 0.004*"familiarity_with" + 0.004*"real_time" + 0.003*"signal_processing" + 0.003*"integration" + 0.003*"bachelor_degree" + 0.003*"best_practice" + 0.003*"enterprise" 2019-03-07 19:40:04,507 : INFO : topic diff=0.271171, rho=0.326129 2019-03-07 19:40:05,601 : INFO : -8.387 per-word bound, 334.7 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:40:05,601 : INFO : PROGRESS: pass 1, at document #2500/3701 2019-03-07 19:40:06,070 : INFO : optimized alpha [0.42509353, 0.16470763, 0.30578095, 0.26927006, 0.25363404] 2019-03-07 19:40:06,070 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:06,076 : INFO : topic #0 (0.425): 0.009*"data_scientist" + 0.005*"data_set" + 0.005*"least_year" + 0.004*"this_role" + 0.004*"data_mining" + 0.003*"advanced_analytics" + 0.003*"bachelor_degree" + 0.003*"team_member" + 0.003*"problem_solving" + 0.003*"best_practice" 2019-03-07 19:40:06,077 : INFO : topic #1 (0.165): 0.003*"others" + 0.003*"essential_function" + 0.003*"speech_recognition" + 0.003*"duty" + 0.003*"must_able" + 0.003*"high_school" + 0.003*"essential" + 0.003*"text_analytics" + 0.003*"report" + 0.002*"assist" 2019-03-07 19:40:06,079 : INFO : topic #2 (0.306): 0.017*"apache_spark" + 0.008*"software_engineer" + 0.007*"apache" + 0.007*"large_scale" + 0.006*"software_development" + 0.005*"open_source" + 0.004*"cutting_edge" + 0.004*"computer_vision" + 0.004*"next_generation" + 0.004*"artificial_intelligence" 2019-03-07 19:40:06,080 : INFO : topic #3 (0.269): 0.004*"more_than" + 0.003*"university" + 0.003*"full_time" + 0.003*"health" + 0.002*"student" + 0.002*"career" + 0.002*"around_world" + 0.002*"deloitte" + 0.002*"together" + 0.002*"internship" 2019-03-07 19:40:06,082 : INFO : topic #4 (0.254): 0.007*"software_development" + 0.006*"security" + 0.005*"apache" + 0.004*"integration" + 0.004*"familiarity_with" + 0.004*"real_time" + 0.003*"best_practice" + 0.003*"agile" + 0.003*"bachelor_degree" + 0.003*"enterprise" 2019-03-07 19:40:06,083 : INFO : topic diff=0.300976, rho=0.326129 2019-03-07 19:40:07,131 : INFO : -8.375 per-word bound, 332.1 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:40:07,132 : INFO : PROGRESS: pass 1, at document #3000/3701 2019-03-07 19:40:07,706 : INFO : optimized alpha [0.3790151, 0.19081292, 0.27139574, 0.24435051, 0.24765597] 2019-03-07 19:40:07,707 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:07,713 : INFO : topic #0 (0.379): 0.007*"data_scientist" + 0.005*"least_year" + 0.004*"data_set" + 0.004*"this_role" + 0.004*"related_document" + 0.003*"bachelor_degree" + 0.003*"data_mining" + 0.003*"team_member" + 0.003*"problem_solving" + 0.003*"best_practice" 2019-03-07 19:40:07,714 : INFO : topic #1 (0.191): 0.005*"others" + 0.004*"essential_function" + 0.003*"speech_recognition" + 0.003*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"must_able" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:40:07,716 : INFO : topic #2 (0.271): 0.012*"apache_spark" + 0.007*"software_engineer" + 0.006*"large_scale" + 0.006*"software_development" + 0.005*"apache" + 0.005*"speech_recognition" + 0.004*"artificial_intelligence" + 0.004*"computer_vision" + 0.004*"open_source" + 0.004*"cutting_edge" 2019-03-07 19:40:07,719 : INFO : topic #3 (0.244): 0.003*"student" + 0.003*"full_time" + 0.003*"more_than" + 0.003*"university" + 0.003*"health" + 0.003*"center" + 0.002*"around_world" + 0.002*"career" + 0.002*"together" + 0.002*"contact_center" 2019-03-07 19:40:07,720 : INFO : topic #4 (0.248): 0.007*"software_development" + 0.006*"understand_speech" + 0.005*"security" + 0.004*"integration" + 0.004*"apache" + 0.004*"familiarity_with" + 0.004*"real_time" + 0.003*"best_practice" + 0.003*"agile" + 0.003*"bachelor_degree" 2019-03-07 19:40:07,721 : INFO : topic diff=0.372153, rho=0.326129 2019-03-07 19:40:09,183 : INFO : -8.418 per-word bound, 342.0 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:40:09,185 : INFO : PROGRESS: pass 1, at document #3500/3701 2019-03-07 19:40:09,764 : INFO : optimized alpha [0.40474042, 0.17828673, 0.28629598, 0.27029005, 0.25303295] 2019-03-07 19:40:09,765 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:09,771 : INFO : topic #0 (0.405): 0.009*"data_scientist" + 0.005*"data_set" + 0.005*"neural_network" + 0.004*"this_role" + 0.004*"least_year" + 0.004*"data_mining" + 0.003*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"master_degree" + 0.003*"advanced_analytics" 2019-03-07 19:40:09,773 : INFO : topic #1 (0.178): 0.004*"essential_function" + 0.004*"others" + 0.003*"equipment" + 0.003*"speech_recognition" + 0.003*"duty" + 0.003*"policy_procedure" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"care" 2019-03-07 19:40:09,774 : INFO : topic #2 (0.286): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.007*"software_development" + 0.006*"software_engineer" + 0.006*"large_scale" + 0.005*"artificial_intelligence" + 0.004*"cutting_edge" + 0.004*"speech_recognition" + 0.004*"next_generation" + 0.003*"apache" 2019-03-07 19:40:09,776 : INFO : topic #3 (0.270): 0.005*"neural_network" + 0.004*"student" + 0.003*"university" + 0.003*"full_time" + 0.003*"health" + 0.003*"more_than" + 0.002*"career" + 0.002*"center" + 0.002*"around_world" + 0.002*"nursing" 2019-03-07 19:40:09,778 : INFO : topic #4 (0.253): 0.007*"software_development" + 0.005*"security" + 0.004*"understand_speech" + 0.004*"familiarity_with" + 0.004*"real_time" + 0.003*"integration" + 0.003*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"best_practice" + 0.003*"apache" 2019-03-07 19:40:09,780 : INFO : topic diff=0.277978, rho=0.326129 2019-03-07 19:40:10,340 : INFO : -8.288 per-word bound, 312.5 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:40:10,341 : INFO : PROGRESS: pass 1, at document #3701/3701 2019-03-07 19:40:10,612 : INFO : optimized alpha [0.4033792, 0.1598419, 0.30546594, 0.28546667, 0.2557177] 2019-03-07 19:40:10,613 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:40:10,620 : INFO : topic #0 (0.403): 0.010*"data_scientist" + 0.006*"neural_network" + 0.005*"data_set" + 0.004*"data_mining" + 0.004*"least_year" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.003*"team_member" + 0.003*"problem_solving" + 0.003*"predictive" 2019-03-07 19:40:10,622 : INFO : topic #1 (0.160): 0.005*"essential_function" + 0.004*"others" + 0.004*"equipment" + 0.003*"duty" + 0.003*"speech_recognition" + 0.003*"policy_procedure" + 0.003*"procedure" + 0.003*"essential" + 0.003*"must_able" + 0.003*"care" 2019-03-07 19:40:10,627 : INFO : topic #2 (0.305): 0.009*"computer_vision" + 0.006*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"apache_spark" + 0.005*"software_development" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.004*"neural_network" + 0.004*"familiarity_with" + 0.004*"world_class" 2019-03-07 19:40:10,639 : INFO : topic #3 (0.285): 0.007*"neural_network" + 0.004*"student" + 0.004*"full_time" + 0.004*"university" + 0.003*"health" + 0.003*"more_than" + 0.002*"http" + 0.002*"around_world" + 0.002*"clinical" + 0.002*"please" 2019-03-07 19:40:10,640 : INFO : topic #4 (0.256): 0.006*"software_development" + 0.005*"security" + 0.005*"familiarity_with" + 0.004*"neural_network" + 0.004*"signal_processing" + 0.004*"real_time" + 0.003*"control" + 0.003*"integration" + 0.003*"understand_speech" + 0.003*"hardware" 2019-03-07 19:40:10,642 : INFO : topic diff=0.282674, rho=0.326129 2019-03-07 19:40:12,315 : INFO : -8.352 per-word bound, 326.6 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:40:12,316 : INFO : PROGRESS: pass 2, at document #500/3701 2019-03-07 19:40:12,846 : INFO : optimized alpha [0.39714834, 0.13631856, 0.30520335, 0.27465343, 0.21614578] 2019-03-07 19:40:12,847 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:12,853 : INFO : topic #0 (0.397): 0.011*"data_scientist" + 0.005*"data_set" + 0.005*"neural_network" + 0.004*"data_mining" + 0.004*"this_role" + 0.003*"least_year" + 0.003*"team_member" + 0.003*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"master_degree" 2019-03-07 19:40:12,854 : INFO : topic #1 (0.136): 0.005*"essential_function" + 0.004*"others" + 0.004*"duty" + 0.003*"equipment" + 0.003*"policy_procedure" + 0.003*"speech_recognition" + 0.003*"procedure" + 0.003*"essential" + 0.003*"must_able" + 0.003*"care" 2019-03-07 19:40:12,855 : INFO : topic #2 (0.305): 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"next_generation" + 0.004*"apache_spark" + 0.004*"google" + 0.003*"familiarity_with" 2019-03-07 19:40:12,858 : INFO : topic #3 (0.275): 0.005*"neural_network" + 0.004*"university" + 0.004*"full_time" + 0.004*"student" + 0.003*"health" + 0.003*"more_than" + 0.002*"cover_letter" + 0.002*"please" + 0.002*"career" + 0.002*"clinical" 2019-03-07 19:40:12,859 : INFO : topic #4 (0.216): 0.006*"software_development" + 0.006*"security" + 0.004*"familiarity_with" + 0.003*"neural_network" + 0.003*"real_time" + 0.003*"signal_processing" + 0.003*"control" + 0.003*"integration" + 0.003*"bachelor_degree" + 0.002*"applicant_will" 2019-03-07 19:40:12,860 : INFO : topic diff=0.237533, rho=0.310057 2019-03-07 19:40:13,957 : INFO : -8.313 per-word bound, 318.1 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:40:13,958 : INFO : PROGRESS: pass 2, at document #1000/3701 2019-03-07 19:40:14,526 : INFO : optimized alpha [0.42985573, 0.13897322, 0.26738447, 0.28823987, 0.23795645] 2019-03-07 19:40:14,527 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:14,533 : INFO : topic #0 (0.430): 0.011*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"mining" + 0.004*"advanced_analytics" + 0.004*"neural_network" + 0.004*"problem_solving" + 0.003*"text_mining" + 0.003*"predictive" 2019-03-07 19:40:14,534 : INFO : topic #1 (0.139): 0.005*"essential_function" + 0.004*"duty" + 0.004*"policy_procedure" + 0.004*"others" + 0.004*"procedure" + 0.004*"equipment" + 0.003*"essential" + 0.003*"report" + 0.003*"must_able" + 0.003*"policy" 2019-03-07 19:40:14,535 : INFO : topic #2 (0.267): 0.008*"computer_vision" + 0.007*"large_scale" + 0.006*"software_engineer" + 0.006*"artificial_intelligence" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"next_generation" + 0.004*"google" + 0.003*"world_class" + 0.003*"familiarity_with" 2019-03-07 19:40:14,537 : INFO : topic #3 (0.288): 0.004*"university" + 0.004*"health" + 0.004*"full_time" + 0.004*"neural_network" + 0.003*"student" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"please" + 0.003*"successful_candidate" + 0.003*"cover_letter" 2019-03-07 19:40:14,539 : INFO : topic #4 (0.238): 0.009*"pattern_recognition" + 0.006*"security" + 0.006*"software_development" + 0.005*"signal_processing" + 0.004*"familiarity_with" + 0.004*"real_time" + 0.003*"integration" + 0.003*"signal" + 0.003*"control" + 0.003*"security_clearance" 2019-03-07 19:40:14,540 : INFO : topic diff=0.273492, rho=0.310057 2019-03-07 19:40:15,433 : INFO : -8.361 per-word bound, 328.7 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:40:15,434 : INFO : PROGRESS: pass 2, at document #1500/3701 2019-03-07 19:40:15,891 : INFO : optimized alpha [0.45102286, 0.13289478, 0.30250874, 0.30927998, 0.23584831] 2019-03-07 19:40:15,892 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:15,898 : INFO : topic #0 (0.451): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.003*"problem_solving" + 0.003*"mining" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"neural_network" + 0.003*"cross_functional" 2019-03-07 19:40:15,899 : INFO : topic #1 (0.133): 0.005*"essential_function" + 0.004*"duty" + 0.004*"others" + 0.004*"policy_procedure" + 0.004*"procedure" + 0.004*"equipment" + 0.003*"essential" + 0.003*"report" + 0.003*"must_able" + 0.003*"policy" 2019-03-07 19:40:15,901 : INFO : topic #2 (0.303): 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"artificial_intelligence" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"world_class" + 0.003*"google" + 0.003*"familiarity_with" 2019-03-07 19:40:15,902 : INFO : topic #3 (0.309): 0.004*"full_time" + 0.004*"university" + 0.004*"health" + 0.003*"student" + 0.003*"more_than" + 0.003*"internship" + 0.003*"please" + 0.003*"neural_network" + 0.002*"career" + 0.002*"cover_letter" 2019-03-07 19:40:15,904 : INFO : topic #4 (0.236): 0.007*"pattern_recognition" + 0.006*"security" + 0.005*"software_development" + 0.005*"signal_processing" + 0.005*"familiarity_with" + 0.004*"real_time" + 0.003*"integration" + 0.003*"signal" + 0.003*"control" + 0.003*"candidate_will" 2019-03-07 19:40:15,905 : INFO : topic diff=0.213355, rho=0.310057 2019-03-07 19:40:16,846 : INFO : -8.429 per-word bound, 344.5 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:40:16,847 : INFO : PROGRESS: pass 2, at document #2000/3701 2019-03-07 19:40:17,280 : INFO : optimized alpha [0.5117392, 0.13536496, 0.334087, 0.32136062, 0.25979385] 2019-03-07 19:40:17,281 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:17,287 : INFO : topic #0 (0.512): 0.010*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"text_analytics" + 0.003*"best_practice" + 0.003*"bachelor_degree" + 0.003*"predictive" 2019-03-07 19:40:17,288 : INFO : topic #1 (0.135): 0.005*"essential_function" + 0.004*"duty" + 0.004*"policy_procedure" + 0.004*"others" + 0.004*"procedure" + 0.003*"essential" + 0.003*"report" + 0.003*"equipment" + 0.003*"must_able" + 0.003*"policy" 2019-03-07 19:40:17,290 : INFO : topic #2 (0.334): 0.009*"apache_spark" + 0.006*"software_engineer" + 0.006*"large_scale" + 0.005*"computer_vision" + 0.005*"artificial_intelligence" + 0.005*"software_development" + 0.004*"cutting_edge" + 0.004*"open_source" + 0.003*"apache" + 0.003*"passionate_about" 2019-03-07 19:40:17,291 : INFO : topic #3 (0.321): 0.004*"full_time" + 0.004*"health" + 0.004*"university" + 0.004*"more_than" + 0.003*"student" + 0.003*"internship" + 0.003*"please" + 0.003*"career" + 0.002*"around_world" + 0.002*"http" 2019-03-07 19:40:17,293 : INFO : topic #4 (0.260): 0.006*"software_development" + 0.005*"security" + 0.005*"pattern_recognition" + 0.005*"familiarity_with" + 0.004*"real_time" + 0.004*"integration" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"apache" + 0.003*"applicant_will" 2019-03-07 19:40:17,295 : INFO : topic diff=0.247423, rho=0.310057 2019-03-07 19:40:18,235 : INFO : -8.304 per-word bound, 316.1 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:40:18,235 : INFO : PROGRESS: pass 2, at document #2500/3701 2019-03-07 19:40:18,834 : INFO : optimized alpha [0.50988925, 0.136685, 0.36377355, 0.30550137, 0.2869559] 2019-03-07 19:40:18,835 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:18,841 : INFO : topic #0 (0.510): 0.010*"data_scientist" + 0.005*"data_set" + 0.004*"least_year" + 0.004*"this_role" + 0.004*"data_mining" + 0.003*"advanced_analytics" + 0.003*"bachelor_degree" + 0.003*"best_practice" + 0.003*"team_member" + 0.003*"problem_solving" 2019-03-07 19:40:18,843 : INFO : topic #1 (0.137): 0.004*"essential_function" + 0.004*"others" + 0.004*"duty" + 0.003*"high_school" + 0.003*"essential" + 0.003*"procedure" + 0.003*"equipment" + 0.003*"must_able" + 0.003*"policy_procedure" + 0.003*"speech_recognition" 2019-03-07 19:40:18,845 : INFO : topic #2 (0.364): 0.016*"apache_spark" + 0.008*"software_engineer" + 0.007*"large_scale" + 0.006*"apache" + 0.005*"software_development" + 0.005*"open_source" + 0.005*"cutting_edge" + 0.004*"computer_vision" + 0.004*"artificial_intelligence" + 0.004*"next_generation" 2019-03-07 19:40:18,848 : INFO : topic #3 (0.306): 0.004*"full_time" + 0.004*"health" + 0.004*"more_than" + 0.004*"university" + 0.003*"student" + 0.003*"internship" + 0.003*"please" + 0.002*"career" + 0.002*"http" + 0.002*"around_world" 2019-03-07 19:40:18,850 : INFO : topic #4 (0.287): 0.007*"software_development" + 0.006*"security" + 0.006*"apache" + 0.005*"integration" + 0.004*"familiarity_with" + 0.004*"real_time" + 0.003*"agile" + 0.003*"bachelor_degree" + 0.003*"best_practice" + 0.003*"pattern_recognition" 2019-03-07 19:40:18,852 : INFO : topic diff=0.304301, rho=0.310057 2019-03-07 19:40:20,042 : INFO : -8.195 per-word bound, 293.0 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:40:20,043 : INFO : PROGRESS: pass 2, at document #3000/3701 2019-03-07 19:40:20,644 : INFO : optimized alpha [0.4039708, 0.15436453, 0.30358443, 0.2574318, 0.25658748] 2019-03-07 19:40:20,646 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:20,655 : INFO : topic #0 (0.404): 0.008*"data_scientist" + 0.005*"data_set" + 0.004*"least_year" + 0.004*"this_role" + 0.004*"data_mining" + 0.004*"bachelor_degree" + 0.003*"best_practice" + 0.003*"related_document" + 0.003*"team_member" + 0.003*"problem_solving" 2019-03-07 19:40:20,657 : INFO : topic #1 (0.154): 0.005*"others" + 0.004*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"speech_recognition" + 0.003*"rule" + 0.003*"high_school" + 0.003*"essential" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:40:20,659 : INFO : topic #2 (0.304): 0.012*"apache_spark" + 0.007*"software_engineer" + 0.006*"large_scale" + 0.006*"software_development" + 0.006*"speech_recognition" + 0.005*"artificial_intelligence" + 0.004*"apache" + 0.004*"computer_vision" + 0.004*"cutting_edge" + 0.004*"open_source" 2019-03-07 19:40:20,661 : INFO : topic #3 (0.257): 0.004*"health" + 0.004*"student" + 0.004*"full_time" + 0.003*"more_than" + 0.003*"university" + 0.003*"medical" + 0.003*"center" + 0.003*"please" + 0.002*"http" + 0.002*"paid" 2019-03-07 19:40:20,663 : INFO : topic #4 (0.257): 0.008*"software_development" + 0.006*"security" + 0.005*"understand_speech" + 0.005*"apache" + 0.004*"integration" + 0.004*"familiarity_with" + 0.004*"real_time" + 0.003*"agile" + 0.003*"bachelor_degree" + 0.003*"best_practice" 2019-03-07 19:40:20,665 : INFO : topic diff=0.363144, rho=0.310057 2019-03-07 19:40:21,560 : INFO : -8.361 per-word bound, 328.9 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:40:21,561 : INFO : PROGRESS: pass 2, at document #3500/3701 2019-03-07 19:40:21,959 : INFO : optimized alpha [0.42147183, 0.14998595, 0.31272894, 0.27988604, 0.2586734] 2019-03-07 19:40:21,960 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:21,966 : INFO : topic #0 (0.421): 0.010*"data_scientist" + 0.005*"data_set" + 0.004*"data_mining" + 0.004*"neural_network" + 0.004*"this_role" + 0.004*"least_year" + 0.003*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"master_degree" + 0.003*"advanced_analytics" 2019-03-07 19:40:21,968 : INFO : topic #1 (0.150): 0.005*"essential_function" + 0.004*"others" + 0.004*"equipment" + 0.003*"duty" + 0.003*"policy_procedure" + 0.003*"essential" + 0.003*"procedure" + 0.003*"speech_recognition" + 0.003*"must_able" + 0.003*"rule" 2019-03-07 19:40:21,969 : INFO : topic #2 (0.313): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.007*"software_engineer" + 0.006*"software_development" + 0.006*"large_scale" + 0.006*"artificial_intelligence" + 0.005*"speech_recognition" + 0.004*"cutting_edge" + 0.004*"next_generation" + 0.003*"open_source" 2019-03-07 19:40:21,971 : INFO : topic #3 (0.280): 0.005*"neural_network" + 0.004*"student" + 0.004*"health" + 0.004*"full_time" + 0.003*"university" + 0.003*"medical" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"please" + 0.002*"career" 2019-03-07 19:40:21,972 : INFO : topic #4 (0.259): 0.008*"software_development" + 0.006*"security" + 0.005*"familiarity_with" + 0.004*"understand_speech" + 0.004*"integration" + 0.004*"real_time" + 0.004*"apache" + 0.003*"bachelor_degree" + 0.003*"signal_processing" + 0.003*"agile" 2019-03-07 19:40:21,974 : INFO : topic diff=0.269676, rho=0.310057 2019-03-07 19:40:22,291 : INFO : -8.236 per-word bound, 301.6 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:40:22,291 : INFO : PROGRESS: pass 2, at document #3701/3701 2019-03-07 19:40:22,444 : INFO : optimized alpha [0.4044243, 0.13771093, 0.32039857, 0.28800687, 0.251568] 2019-03-07 19:40:22,446 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:40:22,452 : INFO : topic #0 (0.404): 0.011*"data_scientist" + 0.006*"neural_network" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"least_year" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"predictive" 2019-03-07 19:40:22,453 : INFO : topic #1 (0.138): 0.005*"essential_function" + 0.004*"others" + 0.004*"equipment" + 0.004*"duty" + 0.003*"policy_procedure" + 0.003*"procedure" + 0.003*"essential" + 0.003*"must_able" + 0.003*"speech_recognition" + 0.003*"appropriate" 2019-03-07 19:40:22,454 : INFO : topic #2 (0.320): 0.009*"computer_vision" + 0.006*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"apache_spark" + 0.005*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.004*"familiarity_with" + 0.004*"speech_recognition" 2019-03-07 19:40:22,456 : INFO : topic #3 (0.288): 0.007*"neural_network" + 0.004*"full_time" + 0.004*"student" + 0.004*"university" + 0.004*"health" + 0.003*"medical" + 0.003*"clinical" + 0.003*"more_than" + 0.003*"please" + 0.003*"http" 2019-03-07 19:40:22,458 : INFO : topic #4 (0.252): 0.007*"software_development" + 0.006*"security" + 0.005*"familiarity_with" + 0.004*"real_time" + 0.004*"neural_network" + 0.004*"signal_processing" + 0.004*"control" + 0.003*"integration" + 0.003*"bachelor_degree" + 0.003*"understand_speech" 2019-03-07 19:40:22,459 : INFO : topic diff=0.278784, rho=0.310057 2019-03-07 19:40:23,271 : INFO : -8.332 per-word bound, 322.2 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:40:23,272 : INFO : PROGRESS: pass 3, at document #500/3701 2019-03-07 19:40:23,743 : INFO : optimized alpha [0.40701666, 0.12224617, 0.32480502, 0.28317833, 0.21960396] 2019-03-07 19:40:23,744 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:23,750 : INFO : topic #0 (0.407): 0.011*"data_scientist" + 0.005*"data_set" + 0.004*"data_mining" + 0.004*"neural_network" + 0.004*"this_role" + 0.003*"advanced_analytics" + 0.003*"team_member" + 0.003*"problem_solving" + 0.003*"least_year" + 0.003*"cross_functional" 2019-03-07 19:40:23,751 : INFO : topic #1 (0.122): 0.005*"essential_function" + 0.004*"others" + 0.004*"equipment" + 0.004*"duty" + 0.003*"policy_procedure" + 0.003*"procedure" + 0.003*"essential" + 0.003*"must_able" + 0.003*"appropriate" + 0.003*"speech_recognition" 2019-03-07 19:40:23,752 : INFO : topic #2 (0.325): 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"next_generation" + 0.004*"apache_spark" + 0.003*"familiarity_with" + 0.003*"google" 2019-03-07 19:40:23,755 : INFO : topic #3 (0.283): 0.005*"neural_network" + 0.004*"full_time" + 0.004*"health" + 0.004*"student" + 0.004*"university" + 0.003*"clinical" + 0.003*"more_than" + 0.003*"please" + 0.003*"medical" + 0.003*"healthcare" 2019-03-07 19:40:23,756 : INFO : topic #4 (0.220): 0.007*"software_development" + 0.006*"security" + 0.005*"familiarity_with" + 0.004*"real_time" + 0.003*"integration" + 0.003*"control" + 0.003*"signal_processing" + 0.003*"neural_network" + 0.003*"bachelor_degree" + 0.003*"applicant_will" 2019-03-07 19:40:23,758 : INFO : topic diff=0.235076, rho=0.296148 2019-03-07 19:40:24,639 : INFO : -8.280 per-word bound, 310.8 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:40:24,641 : INFO : PROGRESS: pass 3, at document #1000/3701 2019-03-07 19:40:25,064 : INFO : optimized alpha [0.43950838, 0.12545958, 0.2843958, 0.2971674, 0.23974325] 2019-03-07 19:40:25,065 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:25,071 : INFO : topic #0 (0.440): 0.011*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.004*"neural_network" + 0.004*"text_mining" + 0.003*"predictive" 2019-03-07 19:40:25,072 : INFO : topic #1 (0.125): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"duty" + 0.004*"others" + 0.004*"equipment" + 0.004*"procedure" + 0.004*"essential" + 0.003*"appropriate" + 0.003*"must_able" + 0.003*"policy" 2019-03-07 19:40:25,074 : INFO : topic #2 (0.284): 0.008*"computer_vision" + 0.007*"software_engineer" + 0.007*"large_scale" + 0.006*"artificial_intelligence" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"next_generation" + 0.004*"google" + 0.003*"world_class" + 0.003*"apache_spark" 2019-03-07 19:40:25,076 : INFO : topic #3 (0.297): 0.005*"health" + 0.004*"university" + 0.004*"full_time" + 0.004*"neural_network" + 0.003*"student" + 0.003*"clinical" + 0.003*"medical" + 0.003*"please" + 0.003*"more_than" + 0.003*"patient" 2019-03-07 19:40:25,078 : INFO : topic #4 (0.240): 0.009*"pattern_recognition" + 0.007*"security" + 0.006*"software_development" + 0.005*"signal_processing" + 0.005*"familiarity_with" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"signal" + 0.003*"clearance" 2019-03-07 19:40:25,079 : INFO : topic diff=0.265549, rho=0.296148 2019-03-07 19:40:25,810 : INFO : -8.348 per-word bound, 325.8 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:40:25,811 : INFO : PROGRESS: pass 3, at document #1500/3701 2019-03-07 19:40:26,161 : INFO : optimized alpha [0.46426958, 0.12202855, 0.3205245, 0.31986818, 0.2365843] 2019-03-07 19:40:26,162 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:26,168 : INFO : topic #0 (0.464): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.003*"mining" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"neural_network" 2019-03-07 19:40:26,169 : INFO : topic #1 (0.122): 0.005*"essential_function" + 0.004*"duty" + 0.004*"policy_procedure" + 0.004*"others" + 0.004*"equipment" + 0.004*"procedure" + 0.004*"essential" + 0.003*"must_able" + 0.003*"appropriate" + 0.003*"report" 2019-03-07 19:40:26,171 : INFO : topic #2 (0.321): 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"world_class" + 0.003*"passionate_about" + 0.003*"familiarity_with" 2019-03-07 19:40:26,172 : INFO : topic #3 (0.320): 0.005*"full_time" + 0.005*"health" + 0.004*"university" + 0.004*"student" + 0.003*"please" + 0.003*"internship" + 0.003*"more_than" + 0.003*"medical" + 0.003*"clinical" + 0.003*"neural_network" 2019-03-07 19:40:26,174 : INFO : topic #4 (0.237): 0.007*"pattern_recognition" + 0.006*"security" + 0.006*"software_development" + 0.005*"signal_processing" + 0.005*"familiarity_with" + 0.004*"real_time" + 0.003*"integration" + 0.003*"signal" + 0.003*"control" + 0.003*"bachelor_degree" 2019-03-07 19:40:26,175 : INFO : topic diff=0.205834, rho=0.296148 2019-03-07 19:40:26,983 : INFO : -8.408 per-word bound, 339.7 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:40:26,984 : INFO : PROGRESS: pass 3, at document #2000/3701 2019-03-07 19:40:27,391 : INFO : optimized alpha [0.52429545, 0.12393553, 0.35229504, 0.33262193, 0.26096833] 2019-03-07 19:40:27,392 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:27,397 : INFO : topic #0 (0.524): 0.010*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"text_analytics" + 0.004*"problem_solving" + 0.003*"best_practice" + 0.003*"bachelor_degree" + 0.003*"cross_functional" 2019-03-07 19:40:27,399 : INFO : topic #1 (0.124): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"duty" + 0.004*"others" + 0.004*"procedure" + 0.004*"equipment" + 0.004*"essential" + 0.003*"must_able" + 0.003*"report" + 0.003*"appropriate" 2019-03-07 19:40:27,401 : INFO : topic #2 (0.352): 0.009*"apache_spark" + 0.006*"software_engineer" + 0.006*"large_scale" + 0.005*"computer_vision" + 0.005*"artificial_intelligence" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.004*"open_source" + 0.004*"passionate_about" + 0.003*"next_generation" 2019-03-07 19:40:27,404 : INFO : topic #3 (0.333): 0.005*"health" + 0.004*"full_time" + 0.004*"more_than" + 0.004*"university" + 0.003*"internship" + 0.003*"student" + 0.003*"please" + 0.003*"medical" + 0.003*"clinical" + 0.003*"career" 2019-03-07 19:40:27,406 : INFO : topic #4 (0.261): 0.006*"software_development" + 0.006*"security" + 0.005*"familiarity_with" + 0.005*"pattern_recognition" + 0.004*"integration" + 0.004*"real_time" + 0.004*"signal_processing" + 0.003*"apache" + 0.003*"bachelor_degree" + 0.003*"applicant_will" 2019-03-07 19:40:27,408 : INFO : topic diff=0.232553, rho=0.296148 2019-03-07 19:40:28,200 : INFO : -8.270 per-word bound, 308.6 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:40:28,200 : INFO : PROGRESS: pass 3, at document #2500/3701 2019-03-07 19:40:28,553 : INFO : optimized alpha [0.5193075, 0.12518516, 0.38045788, 0.31258598, 0.28476164] 2019-03-07 19:40:28,554 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:28,560 : INFO : topic #0 (0.519): 0.010*"data_scientist" + 0.006*"data_set" + 0.004*"data_mining" + 0.004*"this_role" + 0.004*"least_year" + 0.004*"advanced_analytics" + 0.003*"best_practice" + 0.003*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"team_member" 2019-03-07 19:40:28,561 : INFO : topic #1 (0.125): 0.005*"others" + 0.005*"essential_function" + 0.004*"duty" + 0.004*"high_school" + 0.003*"equipment" + 0.003*"policy_procedure" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:40:28,563 : INFO : topic #2 (0.380): 0.015*"apache_spark" + 0.008*"software_engineer" + 0.007*"large_scale" + 0.005*"software_development" + 0.005*"apache" + 0.005*"cutting_edge" + 0.005*"open_source" + 0.004*"computer_vision" + 0.004*"artificial_intelligence" + 0.004*"next_generation" 2019-03-07 19:40:28,564 : INFO : topic #3 (0.313): 0.005*"health" + 0.004*"full_time" + 0.004*"more_than" + 0.004*"university" + 0.003*"internship" + 0.003*"medical" + 0.003*"student" + 0.003*"please" + 0.002*"http" + 0.002*"career" 2019-03-07 19:40:28,567 : INFO : topic #4 (0.285): 0.008*"software_development" + 0.007*"security" + 0.007*"apache" + 0.005*"integration" + 0.005*"familiarity_with" + 0.004*"real_time" + 0.003*"agile" + 0.003*"bachelor_degree" + 0.003*"pattern_recognition" + 0.003*"best_practice" 2019-03-07 19:40:28,568 : INFO : topic diff=0.288138, rho=0.296148 2019-03-07 19:40:29,609 : INFO : -8.128 per-word bound, 279.8 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:40:29,610 : INFO : PROGRESS: pass 3, at document #3000/3701 2019-03-07 19:40:29,977 : INFO : optimized alpha [0.40733466, 0.1406041, 0.3153176, 0.25990117, 0.23681763] 2019-03-07 19:40:29,978 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:29,984 : INFO : topic #0 (0.407): 0.008*"data_scientist" + 0.005*"data_set" + 0.004*"this_role" + 0.004*"least_year" + 0.004*"data_mining" + 0.004*"bachelor_degree" + 0.003*"best_practice" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"cross_functional" 2019-03-07 19:40:29,985 : INFO : topic #1 (0.141): 0.005*"others" + 0.004*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"high_school" + 0.003*"speech_recognition" + 0.003*"essential" + 0.003*"policy_procedure" + 0.003*"must_able" 2019-03-07 19:40:29,986 : INFO : topic #2 (0.315): 0.011*"apache_spark" + 0.007*"software_engineer" + 0.007*"speech_recognition" + 0.006*"large_scale" + 0.006*"software_development" + 0.005*"artificial_intelligence" + 0.004*"computer_vision" + 0.004*"cutting_edge" + 0.004*"amazon" + 0.004*"open_source" 2019-03-07 19:40:29,989 : INFO : topic #3 (0.260): 0.005*"health" + 0.004*"student" + 0.004*"full_time" + 0.004*"medical" + 0.003*"more_than" + 0.003*"university" + 0.003*"please" + 0.003*"center" + 0.003*"patient" + 0.003*"paid" 2019-03-07 19:40:29,991 : INFO : topic #4 (0.237): 0.009*"software_development" + 0.006*"security" + 0.006*"apache" + 0.005*"integration" + 0.005*"familiarity_with" + 0.004*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"best_practice" + 0.003*"cloud_based" 2019-03-07 19:40:29,994 : INFO : topic diff=0.339157, rho=0.296148 2019-03-07 19:40:30,812 : INFO : -8.332 per-word bound, 322.3 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:40:30,814 : INFO : PROGRESS: pass 3, at document #3500/3701 2019-03-07 19:40:31,188 : INFO : optimized alpha [0.42253596, 0.13813947, 0.32096496, 0.2814513, 0.23975724] 2019-03-07 19:40:31,189 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:31,195 : INFO : topic #0 (0.423): 0.010*"data_scientist" + 0.005*"data_set" + 0.004*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"least_year" + 0.003*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"advanced_analytics" + 0.003*"master_degree" 2019-03-07 19:40:31,197 : INFO : topic #1 (0.138): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.003*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"must_able" 2019-03-07 19:40:31,199 : INFO : topic #2 (0.321): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.007*"software_engineer" + 0.006*"large_scale" + 0.006*"software_development" + 0.006*"artificial_intelligence" + 0.005*"speech_recognition" + 0.004*"cutting_edge" + 0.004*"amazon" + 0.004*"next_generation" 2019-03-07 19:40:31,201 : INFO : topic #3 (0.281): 0.005*"neural_network" + 0.005*"health" + 0.004*"student" + 0.004*"full_time" + 0.004*"medical" + 0.003*"university" + 0.003*"please" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:40:31,202 : INFO : topic #4 (0.240): 0.009*"software_development" + 0.006*"security" + 0.005*"familiarity_with" + 0.004*"apache" + 0.004*"integration" + 0.004*"real_time" + 0.004*"bachelor_degree" + 0.003*"agile" + 0.003*"signal_processing" + 0.003*"control" 2019-03-07 19:40:31,204 : INFO : topic diff=0.248046, rho=0.296148 2019-03-07 19:40:31,546 : INFO : -8.212 per-word bound, 296.6 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:40:31,546 : INFO : PROGRESS: pass 3, at document #3701/3701 2019-03-07 19:40:31,695 : INFO : optimized alpha [0.4019522, 0.12839682, 0.32392466, 0.28680718, 0.23561387] 2019-03-07 19:40:31,696 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:40:31,701 : INFO : topic #0 (0.402): 0.011*"data_scientist" + 0.006*"data_set" + 0.006*"neural_network" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"least_year" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"predictive" 2019-03-07 19:40:31,703 : INFO : topic #1 (0.128): 0.005*"essential_function" + 0.004*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.004*"duty" + 0.003*"procedure" + 0.003*"essential" + 0.003*"must_able" + 0.003*"appropriate" + 0.003*"rule" 2019-03-07 19:40:31,705 : INFO : topic #2 (0.324): 0.009*"computer_vision" + 0.006*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"apache_spark" + 0.006*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.004*"speech_recognition" + 0.004*"familiarity_with" 2019-03-07 19:40:31,706 : INFO : topic #3 (0.287): 0.007*"neural_network" + 0.004*"full_time" + 0.004*"student" + 0.004*"health" + 0.004*"university" + 0.004*"medical" + 0.003*"clinical" + 0.003*"please" + 0.003*"more_than" + 0.003*"http" 2019-03-07 19:40:31,708 : INFO : topic #4 (0.236): 0.008*"software_development" + 0.006*"security" + 0.005*"familiarity_with" + 0.004*"real_time" + 0.004*"integration" + 0.004*"control" + 0.004*"neural_network" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"apache" 2019-03-07 19:40:31,709 : INFO : topic diff=0.256132, rho=0.296148 2019-03-07 19:40:32,738 : INFO : -8.321 per-word bound, 319.9 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:40:32,739 : INFO : PROGRESS: pass 4, at document #500/3701 2019-03-07 19:40:33,145 : INFO : optimized alpha [0.40821904, 0.11637549, 0.33161724, 0.28607076, 0.21181934] 2019-03-07 19:40:33,146 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:33,152 : INFO : topic #0 (0.408): 0.012*"data_scientist" + 0.005*"data_set" + 0.005*"data_mining" + 0.004*"neural_network" + 0.004*"this_role" + 0.003*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"least_year" + 0.003*"cross_functional" 2019-03-07 19:40:33,154 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.004*"others" + 0.004*"equipment" + 0.004*"duty" + 0.004*"policy_procedure" + 0.003*"procedure" + 0.003*"essential" + 0.003*"must_able" + 0.003*"appropriate" + 0.003*"rule" 2019-03-07 19:40:33,154 : INFO : topic #2 (0.332): 0.007*"computer_vision" + 0.006*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"next_generation" + 0.004*"apache_spark" + 0.003*"neural_network" + 0.003*"familiarity_with" 2019-03-07 19:40:33,157 : INFO : topic #3 (0.286): 0.005*"neural_network" + 0.005*"health" + 0.005*"full_time" + 0.004*"student" + 0.004*"university" + 0.003*"medical" + 0.003*"clinical" + 0.003*"please" + 0.003*"more_than" + 0.003*"healthcare" 2019-03-07 19:40:33,158 : INFO : topic #4 (0.212): 0.008*"software_development" + 0.006*"security" + 0.005*"familiarity_with" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"neural_network" + 0.003*"apache" 2019-03-07 19:40:33,160 : INFO : topic diff=0.214030, rho=0.283958 2019-03-07 19:40:34,684 : INFO : -8.262 per-word bound, 307.1 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:40:34,691 : INFO : PROGRESS: pass 4, at document #1000/3701 2019-03-07 19:40:35,760 : INFO : optimized alpha [0.43902847, 0.11945904, 0.29046082, 0.2999301, 0.2307387] 2019-03-07 19:40:35,762 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:35,770 : INFO : topic #0 (0.439): 0.011*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.004*"text_mining" + 0.003*"neural_network" + 0.003*"predictive" 2019-03-07 19:40:35,773 : INFO : topic #1 (0.119): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"duty" + 0.004*"equipment" + 0.004*"procedure" + 0.004*"essential" + 0.003*"appropriate" + 0.003*"must_able" + 0.003*"high_school" 2019-03-07 19:40:35,776 : INFO : topic #2 (0.290): 0.008*"computer_vision" + 0.007*"software_engineer" + 0.007*"large_scale" + 0.006*"artificial_intelligence" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"next_generation" + 0.004*"google" + 0.004*"apache_spark" + 0.003*"world_class" 2019-03-07 19:40:35,778 : INFO : topic #3 (0.300): 0.005*"health" + 0.004*"full_time" + 0.004*"university" + 0.004*"medical" + 0.004*"neural_network" + 0.004*"clinical" + 0.004*"student" + 0.003*"please" + 0.003*"more_than" + 0.003*"patient" 2019-03-07 19:40:35,780 : INFO : topic #4 (0.231): 0.008*"pattern_recognition" + 0.007*"security" + 0.007*"software_development" + 0.005*"signal_processing" + 0.005*"familiarity_with" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"clearance" + 0.003*"signal" 2019-03-07 19:40:35,782 : INFO : topic diff=0.242801, rho=0.283958 2019-03-07 19:40:37,581 : INFO : -8.341 per-word bound, 324.3 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:40:37,582 : INFO : PROGRESS: pass 4, at document #1500/3701 2019-03-07 19:40:38,167 : INFO : optimized alpha [0.46598995, 0.116707385, 0.32619086, 0.3223085, 0.22908062] 2019-03-07 19:40:38,169 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:38,176 : INFO : topic #0 (0.466): 0.011*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.004*"mining" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"best_practice" 2019-03-07 19:40:38,178 : INFO : topic #1 (0.117): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"duty" + 0.004*"equipment" + 0.004*"procedure" + 0.004*"essential" + 0.003*"appropriate" + 0.003*"must_able" + 0.003*"high_school" 2019-03-07 19:40:38,181 : INFO : topic #2 (0.326): 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"passionate_about" + 0.004*"world_class" + 0.003*"familiarity_with" 2019-03-07 19:40:38,184 : INFO : topic #3 (0.322): 0.005*"health" + 0.005*"full_time" + 0.004*"university" + 0.004*"student" + 0.004*"please" + 0.003*"internship" + 0.003*"medical" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"neural_network" 2019-03-07 19:40:38,186 : INFO : topic #4 (0.229): 0.007*"pattern_recognition" + 0.006*"security" + 0.006*"software_development" + 0.005*"familiarity_with" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"signal" + 0.003*"control" + 0.003*"bachelor_degree" 2019-03-07 19:40:38,189 : INFO : topic diff=0.185716, rho=0.283958 2019-03-07 19:40:39,226 : INFO : -8.396 per-word bound, 336.8 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:40:39,227 : INFO : PROGRESS: pass 4, at document #2000/3701 2019-03-07 19:40:39,794 : INFO : optimized alpha [0.5244849, 0.11921526, 0.35692134, 0.3355966, 0.25413534] 2019-03-07 19:40:39,795 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:39,801 : INFO : topic #0 (0.524): 0.010*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"text_analytics" + 0.004*"problem_solving" + 0.003*"best_practice" + 0.003*"bachelor_degree" + 0.003*"cross_functional" 2019-03-07 19:40:39,802 : INFO : topic #1 (0.119): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.005*"duty" + 0.004*"procedure" + 0.004*"equipment" + 0.004*"essential" + 0.003*"must_able" + 0.003*"appropriate" + 0.003*"high_school" 2019-03-07 19:40:39,805 : INFO : topic #2 (0.357): 0.008*"apache_spark" + 0.006*"software_engineer" + 0.006*"large_scale" + 0.006*"computer_vision" + 0.005*"artificial_intelligence" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.004*"passionate_about" + 0.004*"open_source" + 0.003*"next_generation" 2019-03-07 19:40:39,806 : INFO : topic #3 (0.336): 0.005*"health" + 0.005*"full_time" + 0.004*"more_than" + 0.004*"university" + 0.004*"internship" + 0.003*"medical" + 0.003*"student" + 0.003*"please" + 0.003*"healthcare" + 0.003*"clinical" 2019-03-07 19:40:39,808 : INFO : topic #4 (0.254): 0.007*"software_development" + 0.006*"security" + 0.005*"familiarity_with" + 0.005*"pattern_recognition" + 0.004*"integration" + 0.004*"real_time" + 0.004*"apache" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"control" 2019-03-07 19:40:39,809 : INFO : topic diff=0.209275, rho=0.283958 2019-03-07 19:40:41,745 : INFO : -8.253 per-word bound, 305.2 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:40:41,747 : INFO : PROGRESS: pass 4, at document #2500/3701 2019-03-07 19:40:42,446 : INFO : optimized alpha [0.5187242, 0.12028141, 0.38250673, 0.31519628, 0.27714294] 2019-03-07 19:40:42,447 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:42,456 : INFO : topic #0 (0.519): 0.010*"data_scientist" + 0.006*"data_set" + 0.004*"data_mining" + 0.004*"this_role" + 0.004*"least_year" + 0.004*"advanced_analytics" + 0.004*"best_practice" + 0.003*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"team_member" 2019-03-07 19:40:42,458 : INFO : topic #1 (0.120): 0.005*"others" + 0.005*"essential_function" + 0.004*"duty" + 0.004*"high_school" + 0.004*"policy_procedure" + 0.004*"equipment" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:40:42,460 : INFO : topic #2 (0.383): 0.015*"apache_spark" + 0.008*"software_engineer" + 0.007*"large_scale" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.005*"apache" + 0.004*"open_source" + 0.004*"computer_vision" + 0.004*"artificial_intelligence" + 0.004*"next_generation" 2019-03-07 19:40:42,463 : INFO : topic #3 (0.315): 0.005*"health" + 0.005*"full_time" + 0.004*"more_than" + 0.003*"university" + 0.003*"medical" + 0.003*"internship" + 0.003*"please" + 0.003*"student" + 0.003*"healthcare" + 0.003*"paid" 2019-03-07 19:40:42,465 : INFO : topic #4 (0.277): 0.008*"software_development" + 0.007*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.004*"real_time" + 0.004*"agile" + 0.003*"bachelor_degree" + 0.003*"pattern_recognition" + 0.003*"high_performance" 2019-03-07 19:40:42,467 : INFO : topic diff=0.259682, rho=0.283958 2019-03-07 19:40:45,194 : INFO : -8.103 per-word bound, 274.9 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:40:45,197 : INFO : PROGRESS: pass 4, at document #3000/3701 2019-03-07 19:40:46,393 : INFO : optimized alpha [0.40657097, 0.13460116, 0.31947237, 0.26340288, 0.23249899] 2019-03-07 19:40:46,399 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:46,412 : INFO : topic #0 (0.407): 0.009*"data_scientist" + 0.005*"data_set" + 0.004*"this_role" + 0.004*"least_year" + 0.004*"data_mining" + 0.004*"best_practice" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"cross_functional" 2019-03-07 19:40:46,415 : INFO : topic #1 (0.135): 0.005*"others" + 0.004*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"high_school" + 0.003*"essential" + 0.003*"policy_procedure" + 0.003*"speech_recognition" + 0.003*"appropriate" 2019-03-07 19:40:46,418 : INFO : topic #2 (0.319): 0.011*"apache_spark" + 0.007*"speech_recognition" + 0.007*"software_engineer" + 0.006*"large_scale" + 0.006*"software_development" + 0.005*"artificial_intelligence" + 0.004*"computer_vision" + 0.004*"amazon" + 0.004*"cutting_edge" + 0.004*"open_source" 2019-03-07 19:40:46,421 : INFO : topic #3 (0.263): 0.006*"health" + 0.004*"full_time" + 0.004*"student" + 0.004*"medical" + 0.003*"more_than" + 0.003*"university" + 0.003*"please" + 0.003*"healthcare" + 0.003*"patient" + 0.003*"clinical" 2019-03-07 19:40:46,424 : INFO : topic #4 (0.232): 0.009*"software_development" + 0.006*"security" + 0.006*"apache" + 0.005*"familiarity_with" + 0.005*"integration" + 0.004*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"cloud_based" + 0.003*"signal_processing" 2019-03-07 19:40:46,427 : INFO : topic diff=0.312224, rho=0.283958 2019-03-07 19:40:48,342 : INFO : -8.317 per-word bound, 318.8 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:40:48,344 : INFO : PROGRESS: pass 4, at document #3500/3701 2019-03-07 19:40:49,013 : INFO : optimized alpha [0.4193908, 0.13271451, 0.3241595, 0.28322193, 0.23598932] 2019-03-07 19:40:49,014 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:49,020 : INFO : topic #0 (0.419): 0.010*"data_scientist" + 0.005*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"least_year" + 0.003*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"best_practice" + 0.003*"advanced_analytics" 2019-03-07 19:40:49,023 : INFO : topic #1 (0.133): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:40:49,025 : INFO : topic #2 (0.324): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.007*"software_engineer" + 0.006*"large_scale" + 0.006*"software_development" + 0.006*"artificial_intelligence" + 0.006*"speech_recognition" + 0.004*"cutting_edge" + 0.004*"amazon" + 0.004*"next_generation" 2019-03-07 19:40:49,027 : INFO : topic #3 (0.283): 0.005*"health" + 0.005*"neural_network" + 0.004*"student" + 0.004*"full_time" + 0.004*"medical" + 0.003*"university" + 0.003*"please" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:40:49,029 : INFO : topic #4 (0.236): 0.009*"software_development" + 0.006*"security" + 0.005*"familiarity_with" + 0.005*"apache" + 0.004*"integration" + 0.004*"real_time" + 0.004*"bachelor_degree" + 0.003*"agile" + 0.003*"signal_processing" + 0.003*"control" 2019-03-07 19:40:49,030 : INFO : topic diff=0.220383, rho=0.283958 2019-03-07 19:40:49,424 : INFO : -8.201 per-word bound, 294.4 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:40:49,425 : INFO : PROGRESS: pass 4, at document #3701/3701 2019-03-07 19:40:49,644 : INFO : optimized alpha [0.39973307, 0.124552846, 0.32736894, 0.28715652, 0.23301332] 2019-03-07 19:40:49,646 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:40:49,652 : INFO : topic #0 (0.400): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"neural_network" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.003*"least_year" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"predictive" 2019-03-07 19:40:49,654 : INFO : topic #1 (0.125): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"procedure" + 0.003*"essential" + 0.003*"must_able" + 0.003*"rule" + 0.003*"appropriate" 2019-03-07 19:40:49,656 : INFO : topic #2 (0.327): 0.009*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"apache_spark" + 0.006*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.005*"speech_recognition" + 0.004*"familiarity_with" 2019-03-07 19:40:49,658 : INFO : topic #3 (0.287): 0.006*"neural_network" + 0.004*"health" + 0.004*"full_time" + 0.004*"student" + 0.004*"medical" + 0.004*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"more_than" + 0.003*"healthcare" 2019-03-07 19:40:49,660 : INFO : topic #4 (0.233): 0.008*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.004*"real_time" + 0.004*"integration" + 0.004*"control" + 0.003*"apache" + 0.003*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"neural_network" 2019-03-07 19:40:49,662 : INFO : topic diff=0.228080, rho=0.283958 2019-03-07 19:40:50,864 : INFO : -8.315 per-word bound, 318.5 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:40:50,864 : INFO : PROGRESS: pass 5, at document #500/3701 2019-03-07 19:40:51,284 : INFO : optimized alpha [0.40906847, 0.114085056, 0.33837098, 0.2890583, 0.21340308] 2019-03-07 19:40:51,285 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:51,291 : INFO : topic #0 (0.409): 0.012*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"neural_network" + 0.004*"this_role" + 0.003*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"least_year" + 0.003*"cross_functional" 2019-03-07 19:40:51,293 : INFO : topic #1 (0.114): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.004*"duty" + 0.003*"procedure" + 0.003*"essential" + 0.003*"rule" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:40:51,294 : INFO : topic #2 (0.338): 0.007*"computer_vision" + 0.006*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"apache_spark" + 0.004*"next_generation" + 0.004*"speech_recognition" + 0.004*"neural_network" 2019-03-07 19:40:51,296 : INFO : topic #3 (0.289): 0.005*"health" + 0.005*"neural_network" + 0.005*"full_time" + 0.004*"student" + 0.004*"university" + 0.004*"medical" + 0.003*"clinical" + 0.003*"please" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:40:51,299 : INFO : topic #4 (0.213): 0.008*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"bachelor_degree" + 0.003*"signal_processing" + 0.003*"apache" + 0.003*"neural_network" 2019-03-07 19:40:51,300 : INFO : topic diff=0.189540, rho=0.273159 2019-03-07 19:40:52,404 : INFO : -8.253 per-word bound, 305.2 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:40:52,405 : INFO : PROGRESS: pass 5, at document #1000/3701 2019-03-07 19:40:52,964 : INFO : optimized alpha [0.4392799, 0.11697774, 0.29819316, 0.30283514, 0.23045988] 2019-03-07 19:40:52,965 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:52,973 : INFO : topic #0 (0.439): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.004*"text_mining" + 0.003*"predictive" + 0.003*"neural_network" 2019-03-07 19:40:52,975 : INFO : topic #1 (0.117): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"appropriate" + 0.003*"high_school" + 0.003*"must_able" 2019-03-07 19:40:52,977 : INFO : topic #2 (0.298): 0.008*"computer_vision" + 0.007*"software_engineer" + 0.007*"large_scale" + 0.006*"artificial_intelligence" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.004*"next_generation" + 0.004*"apache_spark" + 0.004*"google" + 0.003*"world_class" 2019-03-07 19:40:52,980 : INFO : topic #3 (0.303): 0.006*"health" + 0.004*"full_time" + 0.004*"university" + 0.004*"medical" + 0.004*"neural_network" + 0.004*"clinical" + 0.004*"student" + 0.003*"please" + 0.003*"more_than" + 0.003*"healthcare" 2019-03-07 19:40:52,982 : INFO : topic #4 (0.230): 0.008*"pattern_recognition" + 0.007*"software_development" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"clearance" + 0.003*"signal" 2019-03-07 19:40:52,984 : INFO : topic diff=0.217265, rho=0.273159 2019-03-07 19:40:53,815 : INFO : -8.337 per-word bound, 323.4 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:40:53,816 : INFO : PROGRESS: pass 5, at document #1500/3701 2019-03-07 19:40:54,199 : INFO : optimized alpha [0.46716356, 0.115097985, 0.3341475, 0.32541496, 0.22909343] 2019-03-07 19:40:54,200 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:54,206 : INFO : topic #0 (0.467): 0.011*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.004*"mining" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"best_practice" 2019-03-07 19:40:54,207 : INFO : topic #1 (0.115): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:40:54,208 : INFO : topic #2 (0.334): 0.007*"computer_vision" + 0.007*"large_scale" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"passionate_about" + 0.004*"world_class" + 0.003*"google" 2019-03-07 19:40:54,210 : INFO : topic #3 (0.325): 0.005*"health" + 0.005*"full_time" + 0.004*"please" + 0.004*"university" + 0.004*"medical" + 0.004*"student" + 0.004*"internship" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:40:54,212 : INFO : topic #4 (0.229): 0.007*"software_development" + 0.007*"pattern_recognition" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"signal" + 0.003*"bachelor_degree" 2019-03-07 19:40:54,214 : INFO : topic diff=0.162827, rho=0.273159 2019-03-07 19:40:55,168 : INFO : -8.387 per-word bound, 334.8 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:40:55,169 : INFO : PROGRESS: pass 5, at document #2000/3701 2019-03-07 19:40:55,574 : INFO : optimized alpha [0.5243573, 0.117454916, 0.36422476, 0.33874136, 0.2534723] 2019-03-07 19:40:55,576 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:55,581 : INFO : topic #0 (0.524): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"text_analytics" + 0.004*"problem_solving" + 0.003*"best_practice" + 0.003*"bachelor_degree" + 0.003*"mining" 2019-03-07 19:40:55,583 : INFO : topic #1 (0.117): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.005*"duty" + 0.004*"equipment" + 0.004*"procedure" + 0.004*"essential" + 0.003*"must_able" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:40:55,584 : INFO : topic #2 (0.364): 0.008*"apache_spark" + 0.006*"software_engineer" + 0.006*"large_scale" + 0.006*"computer_vision" + 0.005*"artificial_intelligence" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"open_source" + 0.003*"next_generation" 2019-03-07 19:40:55,586 : INFO : topic #3 (0.339): 0.006*"health" + 0.005*"full_time" + 0.004*"more_than" + 0.004*"medical" + 0.004*"internship" + 0.004*"university" + 0.003*"please" + 0.003*"student" + 0.003*"healthcare" + 0.003*"clinical" 2019-03-07 19:40:55,588 : INFO : topic #4 (0.253): 0.007*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.005*"pattern_recognition" + 0.004*"integration" + 0.004*"real_time" + 0.004*"apache" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"control" 2019-03-07 19:40:55,590 : INFO : topic diff=0.184919, rho=0.273159 2019-03-07 19:40:56,705 : INFO : -8.243 per-word bound, 303.0 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:40:56,706 : INFO : PROGRESS: pass 5, at document #2500/3701 2019-03-07 19:40:57,162 : INFO : optimized alpha [0.5138493, 0.118473075, 0.38722864, 0.31923357, 0.27608055] 2019-03-07 19:40:57,163 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:57,169 : INFO : topic #0 (0.514): 0.010*"data_scientist" + 0.006*"data_set" + 0.004*"data_mining" + 0.004*"this_role" + 0.004*"least_year" + 0.004*"best_practice" + 0.004*"advanced_analytics" + 0.003*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"team_member" 2019-03-07 19:40:57,171 : INFO : topic #1 (0.118): 0.005*"others" + 0.005*"essential_function" + 0.004*"duty" + 0.004*"high_school" + 0.004*"policy_procedure" + 0.004*"equipment" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:40:57,173 : INFO : topic #2 (0.387): 0.014*"apache_spark" + 0.008*"software_engineer" + 0.007*"large_scale" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"computer_vision" + 0.004*"artificial_intelligence" + 0.004*"open_source" + 0.004*"apache" + 0.004*"passionate_about" 2019-03-07 19:40:57,174 : INFO : topic #3 (0.319): 0.006*"health" + 0.005*"full_time" + 0.004*"more_than" + 0.004*"medical" + 0.003*"university" + 0.003*"please" + 0.003*"internship" + 0.003*"student" + 0.003*"healthcare" + 0.003*"paid" 2019-03-07 19:40:57,176 : INFO : topic #4 (0.276): 0.009*"software_development" + 0.007*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.004*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"pattern_recognition" + 0.003*"hadoop" 2019-03-07 19:40:57,177 : INFO : topic diff=0.231269, rho=0.273159 2019-03-07 19:40:58,274 : INFO : -8.083 per-word bound, 271.2 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:40:58,275 : INFO : PROGRESS: pass 5, at document #3000/3701 2019-03-07 19:40:58,708 : INFO : optimized alpha [0.3810885, 0.13175838, 0.32293385, 0.26544762, 0.23187198] 2019-03-07 19:40:58,709 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:40:58,716 : INFO : topic #0 (0.381): 0.009*"data_scientist" + 0.005*"data_set" + 0.004*"this_role" + 0.004*"data_mining" + 0.004*"least_year" + 0.004*"best_practice" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"cross_functional" 2019-03-07 19:40:58,717 : INFO : topic #1 (0.132): 0.005*"others" + 0.004*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"high_school" + 0.003*"essential" + 0.003*"policy_procedure" + 0.003*"speech_recognition" + 0.003*"appropriate" 2019-03-07 19:40:58,719 : INFO : topic #2 (0.323): 0.011*"apache_spark" + 0.007*"speech_recognition" + 0.007*"software_engineer" + 0.006*"large_scale" + 0.006*"software_development" + 0.005*"artificial_intelligence" + 0.004*"amazon" + 0.004*"computer_vision" + 0.004*"cutting_edge" + 0.004*"open_source" 2019-03-07 19:40:58,722 : INFO : topic #3 (0.265): 0.006*"health" + 0.005*"full_time" + 0.004*"student" + 0.004*"medical" + 0.003*"more_than" + 0.003*"please" + 0.003*"university" + 0.003*"healthcare" + 0.003*"patient" + 0.003*"clinical" 2019-03-07 19:40:58,724 : INFO : topic #4 (0.232): 0.009*"software_development" + 0.007*"apache" + 0.006*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.004*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"cloud_based" + 0.003*"signal_processing" 2019-03-07 19:40:58,725 : INFO : topic diff=0.287227, rho=0.273159 2019-03-07 19:40:59,683 : INFO : -8.306 per-word bound, 316.6 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:40:59,684 : INFO : PROGRESS: pass 5, at document #3500/3701 2019-03-07 19:41:00,100 : INFO : optimized alpha [0.39736745, 0.13002864, 0.32710993, 0.28462473, 0.23526223] 2019-03-07 19:41:00,102 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:00,108 : INFO : topic #0 (0.397): 0.010*"data_scientist" + 0.005*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.003*"bachelor_degree" + 0.003*"least_year" + 0.003*"problem_solving" + 0.003*"best_practice" + 0.003*"advanced_analytics" 2019-03-07 19:41:00,110 : INFO : topic #1 (0.130): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:41:00,112 : INFO : topic #2 (0.327): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.007*"software_engineer" + 0.006*"large_scale" + 0.006*"speech_recognition" + 0.006*"artificial_intelligence" + 0.006*"software_development" + 0.004*"cutting_edge" + 0.004*"amazon" + 0.004*"next_generation" 2019-03-07 19:41:00,114 : INFO : topic #3 (0.285): 0.005*"health" + 0.004*"student" + 0.004*"neural_network" + 0.004*"medical" + 0.004*"full_time" + 0.003*"university" + 0.003*"please" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"more_than" 2019-03-07 19:41:00,116 : INFO : topic #4 (0.235): 0.010*"software_development" + 0.006*"security" + 0.005*"familiarity_with" + 0.005*"apache" + 0.004*"integration" + 0.004*"real_time" + 0.004*"bachelor_degree" + 0.003*"agile" + 0.003*"signal_processing" + 0.003*"control" 2019-03-07 19:41:00,118 : INFO : topic diff=0.192299, rho=0.273159 2019-03-07 19:41:00,784 : INFO : -8.195 per-word bound, 293.1 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:41:00,785 : INFO : PROGRESS: pass 5, at document #3701/3701 2019-03-07 19:41:01,247 : INFO : optimized alpha [0.38417667, 0.122736104, 0.33045182, 0.2887376, 0.2324522] 2019-03-07 19:41:01,248 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:41:01,260 : INFO : topic #0 (0.384): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"neural_network" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.003*"least_year" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"predictive" 2019-03-07 19:41:01,265 : INFO : topic #1 (0.123): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"procedure" + 0.003*"essential" + 0.003*"rule" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:41:01,267 : INFO : topic #2 (0.330): 0.009*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"apache_spark" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.005*"neural_network" + 0.005*"speech_recognition" + 0.004*"familiarity_with" 2019-03-07 19:41:01,269 : INFO : topic #3 (0.289): 0.006*"neural_network" + 0.005*"health" + 0.004*"full_time" + 0.004*"student" + 0.004*"medical" + 0.004*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"more_than" + 0.003*"healthcare" 2019-03-07 19:41:01,277 : INFO : topic #4 (0.232): 0.009*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.004*"real_time" + 0.004*"integration" + 0.004*"apache" + 0.004*"control" + 0.003*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"neural_network" 2019-03-07 19:41:01,280 : INFO : topic diff=0.202152, rho=0.273159 2019-03-07 19:41:03,063 : INFO : -8.310 per-word bound, 317.4 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:41:03,064 : INFO : PROGRESS: pass 6, at document #500/3701 2019-03-07 19:41:03,829 : INFO : optimized alpha [0.39705816, 0.11302639, 0.34257564, 0.2920547, 0.21426553] 2019-03-07 19:41:03,832 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:03,842 : INFO : topic #0 (0.397): 0.012*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.003*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"least_year" + 0.003*"cross_functional" 2019-03-07 19:41:03,844 : INFO : topic #1 (0.113): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.004*"duty" + 0.003*"procedure" + 0.003*"essential" + 0.003*"rule" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:41:03,846 : INFO : topic #2 (0.343): 0.007*"computer_vision" + 0.006*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.004*"apache_spark" + 0.004*"next_generation" + 0.004*"speech_recognition" + 0.004*"neural_network" 2019-03-07 19:41:03,848 : INFO : topic #3 (0.292): 0.005*"health" + 0.005*"neural_network" + 0.005*"full_time" + 0.004*"student" + 0.004*"university" + 0.004*"medical" + 0.003*"clinical" + 0.003*"healthcare" + 0.003*"please" + 0.003*"more_than" 2019-03-07 19:41:03,849 : INFO : topic #4 (0.214): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"bachelor_degree" + 0.003*"apache" + 0.003*"signal_processing" + 0.003*"high_performance" 2019-03-07 19:41:03,851 : INFO : topic diff=0.167543, rho=0.263505 2019-03-07 19:41:07,277 : INFO : -8.248 per-word bound, 303.9 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:41:07,279 : INFO : PROGRESS: pass 6, at document #1000/3701 2019-03-07 19:41:07,720 : INFO : optimized alpha [0.42738995, 0.115826234, 0.30277076, 0.30582175, 0.22946152] 2019-03-07 19:41:07,721 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:07,733 : INFO : topic #0 (0.427): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"text_mining" + 0.003*"predictive" + 0.003*"neural_network" 2019-03-07 19:41:07,736 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"appropriate" + 0.003*"high_school" + 0.003*"must_able" 2019-03-07 19:41:07,739 : INFO : topic #2 (0.303): 0.008*"computer_vision" + 0.007*"large_scale" + 0.007*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.004*"next_generation" + 0.004*"apache_spark" + 0.003*"google" + 0.003*"world_class" 2019-03-07 19:41:07,741 : INFO : topic #3 (0.306): 0.006*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"university" + 0.004*"neural_network" + 0.004*"clinical" + 0.004*"student" + 0.004*"please" + 0.003*"more_than" + 0.003*"healthcare" 2019-03-07 19:41:07,745 : INFO : topic #4 (0.229): 0.008*"software_development" + 0.008*"pattern_recognition" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"clearance" + 0.003*"bachelor_degree" 2019-03-07 19:41:07,747 : INFO : topic diff=0.195534, rho=0.263505 2019-03-07 19:41:08,717 : INFO : -8.335 per-word bound, 322.9 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:41:08,718 : INFO : PROGRESS: pass 6, at document #1500/3701 2019-03-07 19:41:09,097 : INFO : optimized alpha [0.45617026, 0.11409366, 0.33777004, 0.327672, 0.22783077] 2019-03-07 19:41:09,098 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:09,104 : INFO : topic #0 (0.456): 0.011*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.004*"mining" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"best_practice" 2019-03-07 19:41:09,106 : INFO : topic #1 (0.114): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:41:09,108 : INFO : topic #2 (0.338): 0.007*"computer_vision" + 0.007*"large_scale" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"passionate_about" + 0.004*"world_class" + 0.003*"google" 2019-03-07 19:41:09,109 : INFO : topic #3 (0.328): 0.005*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"please" + 0.004*"university" + 0.004*"student" + 0.004*"internship" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:41:09,111 : INFO : topic #4 (0.228): 0.007*"software_development" + 0.007*"security" + 0.006*"pattern_recognition" + 0.006*"familiarity_with" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"bachelor_degree" + 0.003*"signal" 2019-03-07 19:41:09,112 : INFO : topic diff=0.143074, rho=0.263505 2019-03-07 19:41:09,943 : INFO : -8.381 per-word bound, 333.4 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:41:09,944 : INFO : PROGRESS: pass 6, at document #2000/3701 2019-03-07 19:41:10,349 : INFO : optimized alpha [0.5120131, 0.11619264, 0.3666128, 0.34105277, 0.25163805] 2019-03-07 19:41:10,350 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:10,357 : INFO : topic #0 (0.512): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"text_analytics" + 0.004*"problem_solving" + 0.003*"best_practice" + 0.003*"bachelor_degree" + 0.003*"mining" 2019-03-07 19:41:10,359 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"duty" + 0.004*"equipment" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:41:10,362 : INFO : topic #2 (0.367): 0.008*"apache_spark" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.006*"computer_vision" + 0.005*"artificial_intelligence" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"open_source" + 0.004*"next_generation" 2019-03-07 19:41:10,364 : INFO : topic #3 (0.341): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.004*"internship" + 0.004*"university" + 0.003*"please" + 0.003*"student" + 0.003*"healthcare" + 0.003*"clinical" 2019-03-07 19:41:10,367 : INFO : topic #4 (0.252): 0.008*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.005*"pattern_recognition" + 0.004*"integration" + 0.004*"apache" + 0.004*"real_time" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"control" 2019-03-07 19:41:10,368 : INFO : topic diff=0.164325, rho=0.263505 2019-03-07 19:41:11,267 : INFO : -8.237 per-word bound, 301.7 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:41:11,268 : INFO : PROGRESS: pass 6, at document #2500/3701 2019-03-07 19:41:11,644 : INFO : optimized alpha [0.50602585, 0.117236376, 0.38855624, 0.3227522, 0.27430248] 2019-03-07 19:41:11,646 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:11,652 : INFO : topic #0 (0.506): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"least_year" + 0.004*"best_practice" + 0.004*"advanced_analytics" + 0.003*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"team_member" 2019-03-07 19:41:11,654 : INFO : topic #1 (0.117): 0.005*"others" + 0.005*"essential_function" + 0.004*"duty" + 0.004*"high_school" + 0.004*"policy_procedure" + 0.004*"equipment" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:41:11,655 : INFO : topic #2 (0.389): 0.014*"apache_spark" + 0.007*"software_engineer" + 0.007*"large_scale" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.005*"computer_vision" + 0.005*"artificial_intelligence" + 0.004*"open_source" + 0.004*"apache" + 0.004*"passionate_about" 2019-03-07 19:41:11,657 : INFO : topic #3 (0.323): 0.006*"health" + 0.005*"full_time" + 0.004*"more_than" + 0.004*"medical" + 0.003*"university" + 0.003*"please" + 0.003*"internship" + 0.003*"student" + 0.003*"healthcare" + 0.003*"paid" 2019-03-07 19:41:11,659 : INFO : topic #4 (0.274): 0.009*"software_development" + 0.008*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.004*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"open_source" + 0.003*"hadoop" 2019-03-07 19:41:11,661 : INFO : topic diff=0.207007, rho=0.263505 2019-03-07 19:41:12,714 : INFO : -8.074 per-word bound, 269.5 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:41:12,715 : INFO : PROGRESS: pass 6, at document #3000/3701 2019-03-07 19:41:13,068 : INFO : optimized alpha [0.3828501, 0.13002436, 0.3271603, 0.2702644, 0.23238343] 2019-03-07 19:41:13,069 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:13,075 : INFO : topic #0 (0.383): 0.009*"data_scientist" + 0.005*"data_set" + 0.004*"this_role" + 0.004*"data_mining" + 0.004*"least_year" + 0.004*"best_practice" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"cross_functional" + 0.003*"team_member" 2019-03-07 19:41:13,077 : INFO : topic #1 (0.130): 0.005*"others" + 0.004*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"high_school" + 0.003*"policy_procedure" + 0.003*"essential" + 0.003*"speech_recognition" + 0.003*"appropriate" 2019-03-07 19:41:13,078 : INFO : topic #2 (0.327): 0.011*"apache_spark" + 0.008*"speech_recognition" + 0.007*"software_engineer" + 0.006*"large_scale" + 0.005*"software_development" + 0.005*"artificial_intelligence" + 0.005*"amazon" + 0.004*"computer_vision" + 0.004*"cutting_edge" + 0.004*"passionate_about" 2019-03-07 19:41:13,080 : INFO : topic #3 (0.270): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"more_than" + 0.003*"please" + 0.003*"university" + 0.003*"healthcare" + 0.003*"patient" + 0.003*"clinical" 2019-03-07 19:41:13,082 : INFO : topic #4 (0.232): 0.010*"software_development" + 0.007*"apache" + 0.006*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.004*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"cloud_based" + 0.003*"signal_processing" 2019-03-07 19:41:13,084 : INFO : topic diff=0.268141, rho=0.263505 2019-03-07 19:41:13,855 : INFO : -8.300 per-word bound, 315.2 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:41:13,856 : INFO : PROGRESS: pass 6, at document #3500/3701 2019-03-07 19:41:14,286 : INFO : optimized alpha [0.3996077, 0.1284783, 0.33155227, 0.288992, 0.23592006] 2019-03-07 19:41:14,287 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:14,294 : INFO : topic #0 (0.400): 0.010*"data_scientist" + 0.005*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"bachelor_degree" + 0.003*"least_year" + 0.003*"problem_solving" + 0.003*"best_practice" + 0.003*"advanced_analytics" 2019-03-07 19:41:14,296 : INFO : topic #1 (0.128): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:41:14,298 : INFO : topic #2 (0.332): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.006*"software_engineer" + 0.006*"large_scale" + 0.006*"speech_recognition" + 0.006*"artificial_intelligence" + 0.006*"software_development" + 0.004*"cutting_edge" + 0.004*"amazon" + 0.004*"next_generation" 2019-03-07 19:41:14,299 : INFO : topic #3 (0.289): 0.005*"health" + 0.004*"student" + 0.004*"medical" + 0.004*"neural_network" + 0.004*"full_time" + 0.003*"university" + 0.003*"please" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"more_than" 2019-03-07 19:41:14,301 : INFO : topic #4 (0.236): 0.010*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.004*"integration" + 0.004*"real_time" + 0.004*"bachelor_degree" + 0.003*"agile" + 0.003*"signal_processing" + 0.003*"control" 2019-03-07 19:41:14,302 : INFO : topic diff=0.169857, rho=0.263505 2019-03-07 19:41:14,700 : INFO : -8.192 per-word bound, 292.4 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:41:14,702 : INFO : PROGRESS: pass 6, at document #3701/3701 2019-03-07 19:41:15,180 : INFO : optimized alpha [0.38721055, 0.12179673, 0.33505797, 0.2925591, 0.23316965] 2019-03-07 19:41:15,181 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:41:15,187 : INFO : topic #0 (0.387): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"neural_network" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"least_year" + 0.003*"team_member" + 0.003*"predictive" 2019-03-07 19:41:15,188 : INFO : topic #1 (0.122): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"must_able" + 0.003*"high_school" 2019-03-07 19:41:15,190 : INFO : topic #2 (0.335): 0.009*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"apache_spark" + 0.006*"large_scale" + 0.005*"software_engineer" + 0.005*"speech_recognition" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.005*"software_development" + 0.004*"world_class" 2019-03-07 19:41:15,195 : INFO : topic #3 (0.293): 0.006*"neural_network" + 0.005*"health" + 0.004*"full_time" + 0.004*"student" + 0.004*"medical" + 0.004*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"more_than" + 0.003*"healthcare" 2019-03-07 19:41:15,197 : INFO : topic #4 (0.233): 0.009*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.004*"real_time" + 0.004*"apache" + 0.004*"integration" + 0.004*"control" + 0.003*"bachelor_degree" + 0.003*"signal_processing" + 0.003*"neural_network" 2019-03-07 19:41:15,199 : INFO : topic diff=0.181111, rho=0.263505 2019-03-07 19:41:16,036 : INFO : -8.306 per-word bound, 316.5 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:41:16,038 : INFO : PROGRESS: pass 7, at document #500/3701 2019-03-07 19:41:16,381 : INFO : optimized alpha [0.40079302, 0.112692975, 0.348157, 0.29629987, 0.21573845] 2019-03-07 19:41:16,382 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:16,388 : INFO : topic #0 (0.401): 0.012*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"least_year" + 0.003*"best_practice" 2019-03-07 19:41:16,390 : INFO : topic #1 (0.113): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.004*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:41:16,391 : INFO : topic #2 (0.348): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.004*"apache_spark" + 0.004*"next_generation" + 0.004*"speech_recognition" + 0.004*"neural_network" 2019-03-07 19:41:16,394 : INFO : topic #3 (0.296): 0.005*"health" + 0.005*"full_time" + 0.005*"neural_network" + 0.004*"student" + 0.004*"university" + 0.004*"medical" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"please" + 0.003*"more_than" 2019-03-07 19:41:16,396 : INFO : topic #4 (0.216): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.004*"real_time" + 0.004*"integration" + 0.004*"apache" + 0.003*"control" + 0.003*"bachelor_degree" + 0.003*"signal_processing" + 0.003*"high_performance" 2019-03-07 19:41:16,397 : INFO : topic diff=0.150120, rho=0.254807 2019-03-07 19:41:17,290 : INFO : -8.244 per-word bound, 303.1 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:41:17,291 : INFO : PROGRESS: pass 7, at document #1000/3701 2019-03-07 19:41:17,673 : INFO : optimized alpha [0.4303606, 0.115213044, 0.30826077, 0.30984506, 0.2300456] 2019-03-07 19:41:17,674 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:17,679 : INFO : topic #0 (0.430): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"text_mining" + 0.003*"predictive" + 0.003*"neural_network" 2019-03-07 19:41:17,681 : INFO : topic #1 (0.115): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.005*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"appropriate" + 0.003*"high_school" + 0.003*"must_able" 2019-03-07 19:41:17,683 : INFO : topic #2 (0.308): 0.008*"computer_vision" + 0.007*"large_scale" + 0.007*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.004*"next_generation" + 0.004*"apache_spark" + 0.003*"speech_recognition" + 0.003*"world_class" 2019-03-07 19:41:17,685 : INFO : topic #3 (0.310): 0.006*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"university" + 0.004*"clinical" + 0.004*"neural_network" + 0.004*"student" + 0.004*"please" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:41:17,687 : INFO : topic #4 (0.230): 0.008*"software_development" + 0.007*"security" + 0.007*"pattern_recognition" + 0.006*"familiarity_with" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"clearance" + 0.003*"bachelor_degree" 2019-03-07 19:41:17,688 : INFO : topic diff=0.179333, rho=0.254807 2019-03-07 19:41:18,402 : INFO : -8.333 per-word bound, 322.5 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:41:18,403 : INFO : PROGRESS: pass 7, at document #1500/3701 2019-03-07 19:41:18,742 : INFO : optimized alpha [0.45872626, 0.11364841, 0.34240475, 0.33183163, 0.22837205] 2019-03-07 19:41:18,743 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:18,748 : INFO : topic #0 (0.459): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.004*"mining" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"best_practice" 2019-03-07 19:41:18,750 : INFO : topic #1 (0.114): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:41:18,751 : INFO : topic #2 (0.342): 0.007*"computer_vision" + 0.007*"large_scale" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"passionate_about" + 0.004*"world_class" + 0.003*"google" 2019-03-07 19:41:18,753 : INFO : topic #3 (0.332): 0.005*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"please" + 0.004*"university" + 0.004*"student" + 0.004*"internship" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:41:18,755 : INFO : topic #4 (0.228): 0.007*"software_development" + 0.007*"security" + 0.006*"pattern_recognition" + 0.006*"familiarity_with" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"bachelor_degree" + 0.003*"signal" 2019-03-07 19:41:18,757 : INFO : topic diff=0.128166, rho=0.254807 2019-03-07 19:41:19,570 : INFO : -8.376 per-word bound, 332.2 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:41:19,571 : INFO : PROGRESS: pass 7, at document #2000/3701 2019-03-07 19:41:19,903 : INFO : optimized alpha [0.51309204, 0.11570439, 0.3701437, 0.3447129, 0.25151217] 2019-03-07 19:41:19,904 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:19,910 : INFO : topic #0 (0.513): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.004*"text_analytics" + 0.003*"best_practice" + 0.003*"mining" + 0.003*"bachelor_degree" 2019-03-07 19:41:19,911 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"duty" + 0.004*"equipment" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:41:19,912 : INFO : topic #2 (0.370): 0.008*"apache_spark" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.006*"computer_vision" + 0.005*"artificial_intelligence" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.003*"open_source" 2019-03-07 19:41:19,914 : INFO : topic #3 (0.345): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.004*"internship" + 0.003*"university" + 0.003*"please" + 0.003*"student" + 0.003*"healthcare" + 0.003*"clinical" 2019-03-07 19:41:19,915 : INFO : topic #4 (0.252): 0.008*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.005*"pattern_recognition" + 0.004*"apache" + 0.004*"integration" + 0.004*"real_time" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"control" 2019-03-07 19:41:19,917 : INFO : topic diff=0.147999, rho=0.254807 2019-03-07 19:41:20,735 : INFO : -8.232 per-word bound, 300.8 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:41:20,736 : INFO : PROGRESS: pass 7, at document #2500/3701 2019-03-07 19:41:21,096 : INFO : optimized alpha [0.5078862, 0.11670549, 0.39082277, 0.32700878, 0.27429438] 2019-03-07 19:41:21,097 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:21,103 : INFO : topic #0 (0.508): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"best_practice" + 0.004*"least_year" + 0.004*"advanced_analytics" + 0.003*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"team_member" 2019-03-07 19:41:21,104 : INFO : topic #1 (0.117): 0.005*"others" + 0.005*"essential_function" + 0.004*"duty" + 0.004*"policy_procedure" + 0.004*"high_school" + 0.004*"equipment" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:41:21,106 : INFO : topic #2 (0.391): 0.014*"apache_spark" + 0.007*"software_engineer" + 0.007*"large_scale" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.005*"computer_vision" + 0.005*"artificial_intelligence" + 0.004*"open_source" + 0.004*"passionate_about" + 0.004*"next_generation" 2019-03-07 19:41:21,108 : INFO : topic #3 (0.327): 0.006*"health" + 0.005*"full_time" + 0.004*"more_than" + 0.004*"medical" + 0.003*"university" + 0.003*"please" + 0.003*"internship" + 0.003*"healthcare" + 0.003*"student" + 0.003*"paid" 2019-03-07 19:41:21,110 : INFO : topic #4 (0.274): 0.009*"software_development" + 0.008*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.004*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"open_source" + 0.003*"hadoop" 2019-03-07 19:41:21,111 : INFO : topic diff=0.187923, rho=0.254807 2019-03-07 19:41:22,087 : INFO : -8.068 per-word bound, 268.3 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:41:22,088 : INFO : PROGRESS: pass 7, at document #3000/3701 2019-03-07 19:41:22,461 : INFO : optimized alpha [0.38804477, 0.12892842, 0.3313675, 0.27474824, 0.23368396] 2019-03-07 19:41:22,463 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:22,468 : INFO : topic #0 (0.388): 0.009*"data_scientist" + 0.005*"data_set" + 0.004*"this_role" + 0.004*"data_mining" + 0.004*"least_year" + 0.004*"best_practice" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"cross_functional" + 0.003*"team_member" 2019-03-07 19:41:22,469 : INFO : topic #1 (0.129): 0.005*"others" + 0.004*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"high_school" + 0.003*"policy_procedure" + 0.003*"essential" + 0.003*"appropriate" + 0.003*"speech_recognition" 2019-03-07 19:41:22,471 : INFO : topic #2 (0.331): 0.011*"apache_spark" + 0.008*"speech_recognition" + 0.007*"software_engineer" + 0.006*"large_scale" + 0.005*"software_development" + 0.005*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"amazon" + 0.004*"cutting_edge" + 0.004*"passionate_about" 2019-03-07 19:41:22,473 : INFO : topic #3 (0.275): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"more_than" + 0.003*"please" + 0.003*"healthcare" + 0.003*"university" + 0.003*"patient" + 0.003*"clinical" 2019-03-07 19:41:22,474 : INFO : topic #4 (0.234): 0.010*"software_development" + 0.007*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.004*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"open_source" + 0.003*"cloud_based" 2019-03-07 19:41:22,476 : INFO : topic diff=0.254749, rho=0.254807 2019-03-07 19:41:23,252 : INFO : -8.295 per-word bound, 314.2 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:41:23,253 : INFO : PROGRESS: pass 7, at document #3500/3701 2019-03-07 19:41:23,639 : INFO : optimized alpha [0.40437284, 0.1274694, 0.3356301, 0.2928984, 0.23725522] 2019-03-07 19:41:23,640 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:23,649 : INFO : topic #0 (0.404): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"bachelor_degree" + 0.003*"least_year" + 0.003*"problem_solving" + 0.003*"best_practice" + 0.003*"advanced_analytics" 2019-03-07 19:41:23,653 : INFO : topic #1 (0.127): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:41:23,656 : INFO : topic #2 (0.336): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.006*"speech_recognition" + 0.006*"artificial_intelligence" + 0.006*"software_development" + 0.004*"cutting_edge" + 0.004*"amazon" + 0.004*"passionate_about" 2019-03-07 19:41:23,658 : INFO : topic #3 (0.293): 0.006*"health" + 0.004*"medical" + 0.004*"student" + 0.004*"full_time" + 0.004*"neural_network" + 0.003*"university" + 0.003*"please" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"more_than" 2019-03-07 19:41:23,660 : INFO : topic #4 (0.237): 0.010*"software_development" + 0.006*"security" + 0.006*"apache" + 0.006*"familiarity_with" + 0.004*"integration" + 0.004*"real_time" + 0.004*"bachelor_degree" + 0.003*"agile" + 0.003*"signal_processing" + 0.003*"control" 2019-03-07 19:41:23,662 : INFO : topic diff=0.152274, rho=0.254807 2019-03-07 19:41:23,968 : INFO : -8.189 per-word bound, 291.9 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:41:23,969 : INFO : PROGRESS: pass 7, at document #3701/3701 2019-03-07 19:41:24,177 : INFO : optimized alpha [0.39193067, 0.12125766, 0.33941707, 0.29685503, 0.23448049] 2019-03-07 19:41:24,179 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:41:24,186 : INFO : topic #0 (0.392): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"neural_network" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"least_year" + 0.003*"team_member" + 0.003*"best_practice" 2019-03-07 19:41:24,187 : INFO : topic #1 (0.121): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"must_able" 2019-03-07 19:41:24,190 : INFO : topic #2 (0.339): 0.009*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"apache_spark" + 0.006*"large_scale" + 0.005*"software_engineer" + 0.005*"speech_recognition" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.005*"software_development" + 0.004*"world_class" 2019-03-07 19:41:24,192 : INFO : topic #3 (0.297): 0.006*"neural_network" + 0.005*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"student" + 0.004*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:41:24,194 : INFO : topic #4 (0.234): 0.009*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.004*"real_time" + 0.004*"apache" + 0.004*"integration" + 0.004*"control" + 0.003*"bachelor_degree" + 0.003*"signal_processing" + 0.003*"high_performance" 2019-03-07 19:41:24,196 : INFO : topic diff=0.164160, rho=0.254807 2019-03-07 19:41:25,105 : INFO : -8.303 per-word bound, 315.8 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:41:25,105 : INFO : PROGRESS: pass 8, at document #500/3701 2019-03-07 19:41:25,627 : INFO : optimized alpha [0.40564755, 0.11240094, 0.35281688, 0.30042422, 0.21779755] 2019-03-07 19:41:25,629 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:25,635 : INFO : topic #0 (0.406): 0.012*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"least_year" + 0.003*"best_practice" 2019-03-07 19:41:25,636 : INFO : topic #1 (0.112): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.004*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:41:25,638 : INFO : topic #2 (0.353): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.004*"apache_spark" + 0.004*"next_generation" + 0.004*"speech_recognition" + 0.004*"neural_network" 2019-03-07 19:41:25,640 : INFO : topic #3 (0.300): 0.005*"health" + 0.005*"full_time" + 0.005*"neural_network" + 0.004*"student" + 0.004*"university" + 0.004*"medical" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"please" + 0.003*"more_than" 2019-03-07 19:41:25,644 : INFO : topic #4 (0.218): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.004*"real_time" + 0.004*"integration" + 0.004*"apache" + 0.003*"control" + 0.003*"bachelor_degree" + 0.003*"signal_processing" + 0.003*"high_performance" 2019-03-07 19:41:25,646 : INFO : topic diff=0.137586, rho=0.246917 2019-03-07 19:41:26,557 : INFO : -8.241 per-word bound, 302.6 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:41:26,558 : INFO : PROGRESS: pass 8, at document #1000/3701 2019-03-07 19:41:26,966 : INFO : optimized alpha [0.4347551, 0.11487325, 0.31358722, 0.31374884, 0.23139882] 2019-03-07 19:41:26,968 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:26,975 : INFO : topic #0 (0.435): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"neural_network" + 0.003*"predictive" + 0.003*"text_mining" 2019-03-07 19:41:26,976 : INFO : topic #1 (0.115): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.005*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"appropriate" + 0.003*"high_school" + 0.003*"must_able" 2019-03-07 19:41:26,978 : INFO : topic #2 (0.314): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.007*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.004*"next_generation" + 0.004*"apache_spark" + 0.004*"speech_recognition" + 0.003*"passionate_about" 2019-03-07 19:41:26,980 : INFO : topic #3 (0.314): 0.006*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"university" + 0.004*"clinical" + 0.004*"neural_network" + 0.004*"please" + 0.004*"student" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:41:26,984 : INFO : topic #4 (0.231): 0.008*"software_development" + 0.007*"security" + 0.007*"pattern_recognition" + 0.006*"familiarity_with" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"clearance" + 0.003*"bachelor_degree" 2019-03-07 19:41:26,986 : INFO : topic diff=0.167205, rho=0.246917 2019-03-07 19:41:27,745 : INFO : -8.332 per-word bound, 322.2 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:41:27,746 : INFO : PROGRESS: pass 8, at document #1500/3701 2019-03-07 19:41:28,091 : INFO : optimized alpha [0.46245456, 0.113425545, 0.34702688, 0.3354354, 0.22940403] 2019-03-07 19:41:28,092 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:28,099 : INFO : topic #0 (0.462): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.004*"mining" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"best_practice" 2019-03-07 19:41:28,100 : INFO : topic #1 (0.113): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:41:28,101 : INFO : topic #2 (0.347): 0.007*"computer_vision" + 0.007*"large_scale" + 0.006*"artificial_intelligence" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"passionate_about" + 0.004*"world_class" + 0.003*"google" 2019-03-07 19:41:28,102 : INFO : topic #3 (0.335): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"please" + 0.004*"university" + 0.004*"student" + 0.003*"internship" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:41:28,105 : INFO : topic #4 (0.229): 0.008*"software_development" + 0.007*"security" + 0.006*"pattern_recognition" + 0.006*"familiarity_with" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"bachelor_degree" + 0.003*"high_performance" 2019-03-07 19:41:28,107 : INFO : topic diff=0.117606, rho=0.246917 2019-03-07 19:41:29,334 : INFO : -8.372 per-word bound, 331.3 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:41:29,335 : INFO : PROGRESS: pass 8, at document #2000/3701 2019-03-07 19:41:29,710 : INFO : optimized alpha [0.51530516, 0.115430586, 0.37363464, 0.34789672, 0.2517952] 2019-03-07 19:41:29,712 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:29,717 : INFO : topic #0 (0.515): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.004*"text_analytics" + 0.003*"best_practice" + 0.003*"mining" + 0.003*"bachelor_degree" 2019-03-07 19:41:29,719 : INFO : topic #1 (0.115): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"duty" + 0.004*"equipment" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:41:29,720 : INFO : topic #2 (0.374): 0.008*"apache_spark" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.006*"computer_vision" + 0.006*"artificial_intelligence" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.003*"open_source" 2019-03-07 19:41:29,722 : INFO : topic #3 (0.348): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.004*"internship" + 0.003*"university" + 0.003*"please" + 0.003*"student" + 0.003*"healthcare" + 0.003*"clinical" 2019-03-07 19:41:29,724 : INFO : topic #4 (0.252): 0.008*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.004*"pattern_recognition" + 0.004*"integration" + 0.004*"real_time" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"control" 2019-03-07 19:41:29,726 : INFO : topic diff=0.135593, rho=0.246917 2019-03-07 19:41:30,643 : INFO : -8.229 per-word bound, 300.0 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:41:30,646 : INFO : PROGRESS: pass 8, at document #2500/3701 2019-03-07 19:41:30,991 : INFO : optimized alpha [0.51038325, 0.11630758, 0.39313298, 0.33077165, 0.27449712] 2019-03-07 19:41:30,993 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:30,998 : INFO : topic #0 (0.510): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"best_practice" + 0.004*"advanced_analytics" + 0.004*"least_year" + 0.003*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"team_member" 2019-03-07 19:41:31,000 : INFO : topic #1 (0.116): 0.005*"others" + 0.005*"essential_function" + 0.004*"policy_procedure" + 0.004*"duty" + 0.004*"equipment" + 0.004*"high_school" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:41:31,002 : INFO : topic #2 (0.393): 0.014*"apache_spark" + 0.007*"software_engineer" + 0.007*"large_scale" + 0.005*"computer_vision" + 0.005*"artificial_intelligence" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.004*"open_source" + 0.004*"passionate_about" + 0.004*"next_generation" 2019-03-07 19:41:31,004 : INFO : topic #3 (0.331): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"university" + 0.003*"please" + 0.003*"internship" + 0.003*"healthcare" + 0.003*"student" + 0.003*"clinical" 2019-03-07 19:41:31,005 : INFO : topic #4 (0.274): 0.009*"software_development" + 0.008*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.004*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"open_source" + 0.003*"hadoop" 2019-03-07 19:41:31,006 : INFO : topic diff=0.173428, rho=0.246917 2019-03-07 19:41:32,187 : INFO : -8.063 per-word bound, 267.4 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:41:32,188 : INFO : PROGRESS: pass 8, at document #3000/3701 2019-03-07 19:41:32,605 : INFO : optimized alpha [0.39340124, 0.12814446, 0.3350601, 0.27911955, 0.23513621] 2019-03-07 19:41:32,606 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:32,612 : INFO : topic #0 (0.393): 0.009*"data_scientist" + 0.005*"data_set" + 0.004*"this_role" + 0.004*"data_mining" + 0.004*"least_year" + 0.004*"best_practice" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"cross_functional" 2019-03-07 19:41:32,614 : INFO : topic #1 (0.128): 0.005*"others" + 0.004*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"high_school" + 0.003*"policy_procedure" + 0.003*"essential" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:41:32,616 : INFO : topic #2 (0.335): 0.011*"apache_spark" + 0.008*"speech_recognition" + 0.007*"software_engineer" + 0.006*"large_scale" + 0.005*"software_development" + 0.005*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"amazon" + 0.004*"cutting_edge" + 0.004*"passionate_about" 2019-03-07 19:41:32,617 : INFO : topic #3 (0.279): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"more_than" + 0.003*"please" + 0.003*"healthcare" + 0.003*"university" + 0.003*"patient" + 0.003*"clinical" 2019-03-07 19:41:32,619 : INFO : topic #4 (0.235): 0.010*"software_development" + 0.007*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.004*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"open_source" + 0.003*"cloud_based" 2019-03-07 19:41:32,620 : INFO : topic diff=0.244943, rho=0.246917 2019-03-07 19:41:33,456 : INFO : -8.291 per-word bound, 313.3 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:41:33,457 : INFO : PROGRESS: pass 8, at document #3500/3701 2019-03-07 19:41:33,864 : INFO : optimized alpha [0.40915775, 0.126871, 0.33911577, 0.29666045, 0.23854297] 2019-03-07 19:41:33,865 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:33,871 : INFO : topic #0 (0.409): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"bachelor_degree" + 0.003*"least_year" + 0.003*"problem_solving" + 0.003*"best_practice" + 0.003*"advanced_analytics" 2019-03-07 19:41:33,872 : INFO : topic #1 (0.127): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:41:33,874 : INFO : topic #2 (0.339): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"speech_recognition" + 0.006*"software_engineer" + 0.006*"artificial_intelligence" + 0.005*"software_development" + 0.004*"cutting_edge" + 0.004*"amazon" + 0.004*"passionate_about" 2019-03-07 19:41:33,877 : INFO : topic #3 (0.297): 0.006*"health" + 0.004*"medical" + 0.004*"student" + 0.004*"full_time" + 0.004*"neural_network" + 0.003*"please" + 0.003*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"more_than" 2019-03-07 19:41:33,879 : INFO : topic #4 (0.239): 0.010*"software_development" + 0.007*"security" + 0.006*"apache" + 0.006*"familiarity_with" + 0.005*"integration" + 0.004*"real_time" + 0.004*"bachelor_degree" + 0.004*"agile" + 0.003*"signal_processing" + 0.003*"control" 2019-03-07 19:41:33,881 : INFO : topic diff=0.138866, rho=0.246917 2019-03-07 19:41:34,227 : INFO : -8.188 per-word bound, 291.5 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:41:34,228 : INFO : PROGRESS: pass 8, at document #3701/3701 2019-03-07 19:41:34,376 : INFO : optimized alpha [0.39643127, 0.1209919, 0.3428019, 0.30023172, 0.23574534] 2019-03-07 19:41:34,378 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:41:34,383 : INFO : topic #0 (0.396): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"neural_network" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"least_year" + 0.003*"team_member" + 0.003*"best_practice" 2019-03-07 19:41:34,385 : INFO : topic #1 (0.121): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"must_able" 2019-03-07 19:41:34,388 : INFO : topic #2 (0.343): 0.009*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"apache_spark" + 0.006*"large_scale" + 0.005*"software_engineer" + 0.005*"speech_recognition" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.005*"software_development" + 0.004*"world_class" 2019-03-07 19:41:34,392 : INFO : topic #3 (0.300): 0.006*"neural_network" + 0.005*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"student" + 0.004*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:41:34,394 : INFO : topic #4 (0.236): 0.009*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.004*"real_time" + 0.004*"integration" + 0.004*"control" + 0.004*"bachelor_degree" + 0.003*"signal_processing" + 0.003*"high_performance" 2019-03-07 19:41:34,395 : INFO : topic diff=0.150733, rho=0.246917 2019-03-07 19:41:35,337 : INFO : -8.300 per-word bound, 315.1 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:41:35,338 : INFO : PROGRESS: pass 9, at document #500/3701 2019-03-07 19:41:35,766 : INFO : optimized alpha [0.40976742, 0.112486035, 0.35640216, 0.30359474, 0.21941604] 2019-03-07 19:41:35,767 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:35,773 : INFO : topic #0 (0.410): 0.012*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"team_member" + 0.003*"best_practice" + 0.003*"least_year" 2019-03-07 19:41:35,775 : INFO : topic #1 (0.112): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:41:35,777 : INFO : topic #2 (0.356): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.005*"apache_spark" + 0.004*"speech_recognition" + 0.004*"next_generation" + 0.004*"neural_network" 2019-03-07 19:41:35,780 : INFO : topic #3 (0.304): 0.005*"health" + 0.005*"full_time" + 0.004*"neural_network" + 0.004*"student" + 0.004*"university" + 0.004*"medical" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"please" + 0.003*"more_than" 2019-03-07 19:41:35,783 : INFO : topic #4 (0.219): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.004*"real_time" + 0.004*"integration" + 0.004*"apache" + 0.003*"control" + 0.003*"bachelor_degree" + 0.003*"signal_processing" + 0.003*"high_performance" 2019-03-07 19:41:35,790 : INFO : topic diff=0.128610, rho=0.239718 2019-03-07 19:41:36,650 : INFO : -8.239 per-word bound, 302.1 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:41:36,651 : INFO : PROGRESS: pass 9, at document #1000/3701 2019-03-07 19:41:37,012 : INFO : optimized alpha [0.43817353, 0.11483258, 0.31771636, 0.31667075, 0.2324689] 2019-03-07 19:41:37,013 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:37,019 : INFO : topic #0 (0.438): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"mining" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"neural_network" + 0.003*"predictive" + 0.003*"text_mining" 2019-03-07 19:41:37,020 : INFO : topic #1 (0.115): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.005*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:41:37,023 : INFO : topic #2 (0.318): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.007*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.004*"apache_spark" + 0.004*"next_generation" + 0.004*"speech_recognition" + 0.003*"passionate_about" 2019-03-07 19:41:37,024 : INFO : topic #3 (0.317): 0.006*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"university" + 0.004*"clinical" + 0.004*"neural_network" + 0.004*"please" + 0.004*"student" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:41:37,026 : INFO : topic #4 (0.232): 0.008*"software_development" + 0.007*"security" + 0.007*"pattern_recognition" + 0.006*"familiarity_with" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"clearance" + 0.003*"bachelor_degree" 2019-03-07 19:41:37,027 : INFO : topic diff=0.157733, rho=0.239718 2019-03-07 19:41:37,771 : INFO : -8.331 per-word bound, 322.0 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:41:37,772 : INFO : PROGRESS: pass 9, at document #1500/3701 2019-03-07 19:41:38,097 : INFO : optimized alpha [0.465389, 0.113465376, 0.35072896, 0.33811164, 0.23080313] 2019-03-07 19:41:38,098 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:38,104 : INFO : topic #0 (0.465): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.004*"mining" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"best_practice" 2019-03-07 19:41:38,106 : INFO : topic #1 (0.113): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:41:38,108 : INFO : topic #2 (0.351): 0.007*"computer_vision" + 0.007*"large_scale" + 0.006*"artificial_intelligence" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"passionate_about" + 0.004*"world_class" + 0.003*"google" 2019-03-07 19:41:38,110 : INFO : topic #3 (0.338): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"please" + 0.004*"university" + 0.004*"student" + 0.003*"internship" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:41:38,112 : INFO : topic #4 (0.231): 0.008*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.006*"pattern_recognition" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"bachelor_degree" + 0.003*"control" + 0.003*"high_performance" 2019-03-07 19:41:38,113 : INFO : topic diff=0.110218, rho=0.239718 2019-03-07 19:41:38,925 : INFO : -8.368 per-word bound, 330.5 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:41:38,926 : INFO : PROGRESS: pass 9, at document #2000/3701 2019-03-07 19:41:39,257 : INFO : optimized alpha [0.5169607, 0.115418516, 0.37651685, 0.35017446, 0.25325948] 2019-03-07 19:41:39,259 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:39,265 : INFO : topic #0 (0.517): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.004*"text_analytics" + 0.003*"best_practice" + 0.003*"mining" + 0.003*"bachelor_degree" 2019-03-07 19:41:39,266 : INFO : topic #1 (0.115): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:41:39,267 : INFO : topic #2 (0.377): 0.008*"apache_spark" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.006*"computer_vision" + 0.006*"artificial_intelligence" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.003*"open_source" 2019-03-07 19:41:39,270 : INFO : topic #3 (0.350): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.004*"internship" + 0.003*"university" + 0.003*"please" + 0.003*"student" + 0.003*"healthcare" + 0.003*"clinical" 2019-03-07 19:41:39,271 : INFO : topic #4 (0.253): 0.008*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.004*"integration" + 0.004*"real_time" + 0.004*"pattern_recognition" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"control" 2019-03-07 19:41:39,272 : INFO : topic diff=0.125990, rho=0.239718 2019-03-07 19:41:40,082 : INFO : -8.226 per-word bound, 299.4 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:41:40,083 : INFO : PROGRESS: pass 9, at document #2500/3701 2019-03-07 19:41:40,465 : INFO : optimized alpha [0.51217824, 0.11614273, 0.39487725, 0.3333484, 0.27538565] 2019-03-07 19:41:40,466 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:40,471 : INFO : topic #0 (0.512): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"best_practice" + 0.004*"advanced_analytics" + 0.004*"least_year" + 0.003*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"team_member" 2019-03-07 19:41:40,473 : INFO : topic #1 (0.116): 0.005*"others" + 0.005*"essential_function" + 0.004*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"high_school" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:41:40,474 : INFO : topic #2 (0.395): 0.014*"apache_spark" + 0.007*"software_engineer" + 0.007*"large_scale" + 0.005*"computer_vision" + 0.005*"artificial_intelligence" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.004*"open_source" + 0.004*"passionate_about" + 0.004*"next_generation" 2019-03-07 19:41:40,477 : INFO : topic #3 (0.333): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"please" + 0.003*"university" + 0.003*"internship" + 0.003*"healthcare" + 0.003*"student" + 0.003*"clinical" 2019-03-07 19:41:40,478 : INFO : topic #4 (0.275): 0.009*"software_development" + 0.008*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.004*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"open_source" + 0.003*"hadoop" 2019-03-07 19:41:40,480 : INFO : topic diff=0.162003, rho=0.239718 2019-03-07 19:41:41,728 : INFO : -8.059 per-word bound, 266.7 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:41:41,729 : INFO : PROGRESS: pass 9, at document #3000/3701 2019-03-07 19:41:42,086 : INFO : optimized alpha [0.3980524, 0.12762289, 0.33806193, 0.28234547, 0.23674813] 2019-03-07 19:41:42,087 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:42,093 : INFO : topic #0 (0.398): 0.010*"data_scientist" + 0.005*"data_set" + 0.004*"data_mining" + 0.004*"this_role" + 0.004*"best_practice" + 0.004*"least_year" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"cross_functional" 2019-03-07 19:41:42,095 : INFO : topic #1 (0.128): 0.005*"others" + 0.004*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"high_school" + 0.003*"policy_procedure" + 0.003*"essential" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:41:42,097 : INFO : topic #2 (0.338): 0.011*"apache_spark" + 0.008*"speech_recognition" + 0.007*"software_engineer" + 0.006*"large_scale" + 0.005*"artificial_intelligence" + 0.005*"software_development" + 0.005*"computer_vision" + 0.005*"amazon" + 0.004*"cutting_edge" + 0.004*"passionate_about" 2019-03-07 19:41:42,098 : INFO : topic #3 (0.282): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"more_than" + 0.003*"please" + 0.003*"healthcare" + 0.003*"university" + 0.003*"patient" + 0.003*"clinical" 2019-03-07 19:41:42,101 : INFO : topic #4 (0.237): 0.010*"software_development" + 0.007*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.004*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"open_source" + 0.003*"hadoop" 2019-03-07 19:41:42,102 : INFO : topic diff=0.237364, rho=0.239718 2019-03-07 19:41:43,141 : INFO : -8.288 per-word bound, 312.6 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:41:43,143 : INFO : PROGRESS: pass 9, at document #3500/3701 2019-03-07 19:41:43,670 : INFO : optimized alpha [0.41331103, 0.12649111, 0.342106, 0.2995631, 0.2400966] 2019-03-07 19:41:43,680 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:43,690 : INFO : topic #0 (0.413): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"least_year" + 0.003*"best_practice" + 0.003*"advanced_analytics" 2019-03-07 19:41:43,693 : INFO : topic #1 (0.126): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:41:43,698 : INFO : topic #2 (0.342): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"speech_recognition" + 0.006*"software_engineer" + 0.006*"artificial_intelligence" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"amazon" + 0.004*"passionate_about" 2019-03-07 19:41:43,700 : INFO : topic #3 (0.300): 0.006*"health" + 0.004*"medical" + 0.004*"student" + 0.004*"full_time" + 0.004*"neural_network" + 0.003*"please" + 0.003*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"more_than" 2019-03-07 19:41:43,704 : INFO : topic #4 (0.240): 0.010*"software_development" + 0.007*"security" + 0.006*"apache" + 0.006*"familiarity_with" + 0.005*"integration" + 0.004*"real_time" + 0.004*"bachelor_degree" + 0.004*"agile" + 0.003*"signal_processing" + 0.003*"open_source" 2019-03-07 19:41:43,706 : INFO : topic diff=0.128589, rho=0.239718 2019-03-07 19:41:44,104 : INFO : -8.186 per-word bound, 291.3 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:41:44,105 : INFO : PROGRESS: pass 9, at document #3701/3701 2019-03-07 19:41:44,283 : INFO : optimized alpha [0.40028, 0.12087007, 0.34558094, 0.30281135, 0.23717289] 2019-03-07 19:41:44,284 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:41:44,291 : INFO : topic #0 (0.400): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.005*"neural_network" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"least_year" + 0.003*"team_member" + 0.003*"best_practice" 2019-03-07 19:41:44,294 : INFO : topic #1 (0.121): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"must_able" 2019-03-07 19:41:44,300 : INFO : topic #2 (0.346): 0.009*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"apache_spark" + 0.006*"large_scale" + 0.005*"software_engineer" + 0.005*"speech_recognition" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.005*"software_development" + 0.004*"world_class" 2019-03-07 19:41:44,305 : INFO : topic #3 (0.303): 0.006*"neural_network" + 0.005*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:41:44,307 : INFO : topic #4 (0.237): 0.009*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.004*"real_time" + 0.004*"integration" + 0.004*"control" + 0.004*"bachelor_degree" + 0.003*"signal_processing" + 0.003*"high_performance" 2019-03-07 19:41:44,314 : INFO : topic diff=0.139823, rho=0.239718 2019-03-07 19:41:45,289 : INFO : -8.297 per-word bound, 314.6 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:41:45,290 : INFO : PROGRESS: pass 10, at document #500/3701 2019-03-07 19:41:45,692 : INFO : optimized alpha [0.41326243, 0.11265169, 0.3590152, 0.30596492, 0.22122005] 2019-03-07 19:41:45,693 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:45,700 : INFO : topic #0 (0.413): 0.012*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"problem_solving" + 0.004*"advanced_analytics" + 0.003*"team_member" + 0.003*"best_practice" + 0.003*"least_year" 2019-03-07 19:41:45,702 : INFO : topic #1 (0.113): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:41:45,704 : INFO : topic #2 (0.359): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"apache_spark" + 0.005*"software_development" + 0.004*"speech_recognition" + 0.004*"next_generation" + 0.004*"neural_network" 2019-03-07 19:41:45,707 : INFO : topic #3 (0.306): 0.005*"health" + 0.005*"full_time" + 0.004*"neural_network" + 0.004*"student" + 0.004*"medical" + 0.004*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"please" + 0.003*"more_than" 2019-03-07 19:41:45,709 : INFO : topic #4 (0.221): 0.010*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.004*"real_time" + 0.004*"apache" + 0.004*"integration" + 0.003*"control" + 0.003*"bachelor_degree" + 0.003*"signal_processing" + 0.003*"agile" 2019-03-07 19:41:45,711 : INFO : topic diff=0.121542, rho=0.233114 2019-03-07 19:41:46,626 : INFO : -8.237 per-word bound, 301.8 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:41:46,630 : INFO : PROGRESS: pass 10, at document #1000/3701 2019-03-07 19:41:47,216 : INFO : optimized alpha [0.44062272, 0.114933975, 0.3209678, 0.31911978, 0.23362233] 2019-03-07 19:41:47,217 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:47,223 : INFO : topic #0 (0.441): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"mining" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"neural_network" + 0.003*"predictive" + 0.003*"text_mining" 2019-03-07 19:41:47,225 : INFO : topic #1 (0.115): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.005*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:41:47,227 : INFO : topic #2 (0.321): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.007*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.004*"apache_spark" + 0.004*"next_generation" + 0.004*"speech_recognition" + 0.004*"passionate_about" 2019-03-07 19:41:47,229 : INFO : topic #3 (0.319): 0.006*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"university" + 0.004*"clinical" + 0.004*"neural_network" + 0.004*"student" + 0.004*"please" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:41:47,231 : INFO : topic #4 (0.234): 0.008*"software_development" + 0.007*"security" + 0.006*"pattern_recognition" + 0.006*"familiarity_with" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"clearance" + 0.003*"bachelor_degree" 2019-03-07 19:41:47,233 : INFO : topic diff=0.150217, rho=0.233114 2019-03-07 19:41:48,166 : INFO : -8.330 per-word bound, 321.8 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:41:48,167 : INFO : PROGRESS: pass 10, at document #1500/3701 2019-03-07 19:41:48,519 : INFO : optimized alpha [0.46727222, 0.113555595, 0.35354412, 0.34004098, 0.23194288] 2019-03-07 19:41:48,522 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:48,533 : INFO : topic #0 (0.467): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.004*"mining" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"best_practice" 2019-03-07 19:41:48,535 : INFO : topic #1 (0.114): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:41:48,538 : INFO : topic #2 (0.354): 0.007*"computer_vision" + 0.007*"large_scale" + 0.006*"artificial_intelligence" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"passionate_about" + 0.004*"world_class" + 0.003*"google" 2019-03-07 19:41:48,541 : INFO : topic #3 (0.340): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"please" + 0.004*"university" + 0.004*"student" + 0.003*"internship" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:41:48,548 : INFO : topic #4 (0.232): 0.008*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.006*"pattern_recognition" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"bachelor_degree" + 0.003*"control" + 0.003*"high_performance" 2019-03-07 19:41:48,550 : INFO : topic diff=0.104936, rho=0.233114 2019-03-07 19:41:49,522 : INFO : -8.365 per-word bound, 329.8 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:41:49,523 : INFO : PROGRESS: pass 10, at document #2000/3701 2019-03-07 19:41:49,991 : INFO : optimized alpha [0.5174953, 0.11544799, 0.37839794, 0.3519152, 0.2539129] 2019-03-07 19:41:49,992 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:49,999 : INFO : topic #0 (0.517): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.004*"text_analytics" + 0.003*"best_practice" + 0.003*"mining" + 0.003*"bachelor_degree" 2019-03-07 19:41:50,001 : INFO : topic #1 (0.115): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:41:50,002 : INFO : topic #2 (0.378): 0.008*"apache_spark" + 0.006*"large_scale" + 0.006*"computer_vision" + 0.006*"software_engineer" + 0.006*"artificial_intelligence" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.003*"open_source" 2019-03-07 19:41:50,005 : INFO : topic #3 (0.352): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.004*"internship" + 0.003*"university" + 0.003*"please" + 0.003*"student" + 0.003*"healthcare" + 0.003*"clinical" 2019-03-07 19:41:50,007 : INFO : topic #4 (0.254): 0.008*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.004*"real_time" + 0.004*"integration" + 0.004*"pattern_recognition" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"control" 2019-03-07 19:41:50,011 : INFO : topic diff=0.118168, rho=0.233114 2019-03-07 19:41:51,031 : INFO : -8.224 per-word bound, 298.9 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:41:51,031 : INFO : PROGRESS: pass 10, at document #2500/3701 2019-03-07 19:41:51,442 : INFO : optimized alpha [0.51288587, 0.11615093, 0.39552012, 0.33542117, 0.27597398] 2019-03-07 19:41:51,444 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:51,452 : INFO : topic #0 (0.513): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"best_practice" + 0.004*"advanced_analytics" + 0.004*"least_year" + 0.003*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"team_member" 2019-03-07 19:41:51,456 : INFO : topic #1 (0.116): 0.005*"others" + 0.005*"essential_function" + 0.004*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"high_school" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:41:51,460 : INFO : topic #2 (0.396): 0.013*"apache_spark" + 0.007*"software_engineer" + 0.007*"large_scale" + 0.005*"computer_vision" + 0.005*"artificial_intelligence" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.004*"open_source" + 0.004*"passionate_about" + 0.004*"next_generation" 2019-03-07 19:41:51,464 : INFO : topic #3 (0.335): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"please" + 0.003*"university" + 0.003*"internship" + 0.003*"healthcare" + 0.003*"student" + 0.003*"clinical" 2019-03-07 19:41:51,470 : INFO : topic #4 (0.276): 0.009*"software_development" + 0.008*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"open_source" + 0.004*"bachelor_degree" + 0.003*"hadoop" 2019-03-07 19:41:51,475 : INFO : topic diff=0.152682, rho=0.233114 2019-03-07 19:41:53,174 : INFO : -8.055 per-word bound, 266.0 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:41:53,175 : INFO : PROGRESS: pass 10, at document #3000/3701 2019-03-07 19:41:53,558 : INFO : optimized alpha [0.40205756, 0.1273272, 0.34036902, 0.28564537, 0.23858349] 2019-03-07 19:41:53,559 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:53,566 : INFO : topic #0 (0.402): 0.010*"data_scientist" + 0.005*"data_set" + 0.004*"data_mining" + 0.004*"this_role" + 0.004*"best_practice" + 0.004*"least_year" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"cross_functional" 2019-03-07 19:41:53,568 : INFO : topic #1 (0.127): 0.005*"others" + 0.004*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"high_school" + 0.003*"policy_procedure" + 0.003*"essential" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:41:53,570 : INFO : topic #2 (0.340): 0.010*"apache_spark" + 0.008*"speech_recognition" + 0.006*"software_engineer" + 0.006*"large_scale" + 0.005*"artificial_intelligence" + 0.005*"software_development" + 0.005*"computer_vision" + 0.005*"amazon" + 0.004*"cutting_edge" + 0.004*"passionate_about" 2019-03-07 19:41:53,572 : INFO : topic #3 (0.286): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"more_than" + 0.003*"please" + 0.003*"healthcare" + 0.003*"university" + 0.003*"patient" + 0.003*"clinical" 2019-03-07 19:41:53,575 : INFO : topic #4 (0.239): 0.010*"software_development" + 0.007*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.004*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"open_source" + 0.003*"hadoop" 2019-03-07 19:41:53,576 : INFO : topic diff=0.231045, rho=0.233114 2019-03-07 19:41:54,326 : INFO : -8.285 per-word bound, 312.0 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:41:54,327 : INFO : PROGRESS: pass 10, at document #3500/3701 2019-03-07 19:41:54,725 : INFO : optimized alpha [0.4167673, 0.1262862, 0.34428626, 0.30234575, 0.24168643] 2019-03-07 19:41:54,726 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:54,732 : INFO : topic #0 (0.417): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"least_year" + 0.003*"best_practice" + 0.003*"advanced_analytics" 2019-03-07 19:41:54,734 : INFO : topic #1 (0.126): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"appropriate" 2019-03-07 19:41:54,735 : INFO : topic #2 (0.344): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"speech_recognition" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"amazon" + 0.004*"passionate_about" 2019-03-07 19:41:54,737 : INFO : topic #3 (0.302): 0.006*"health" + 0.004*"medical" + 0.004*"full_time" + 0.004*"student" + 0.004*"neural_network" + 0.003*"please" + 0.003*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"more_than" 2019-03-07 19:41:54,739 : INFO : topic #4 (0.242): 0.010*"software_development" + 0.007*"security" + 0.006*"apache" + 0.006*"familiarity_with" + 0.005*"integration" + 0.004*"real_time" + 0.004*"bachelor_degree" + 0.004*"agile" + 0.003*"signal_processing" + 0.003*"open_source" 2019-03-07 19:41:54,741 : INFO : topic diff=0.120299, rho=0.233114 2019-03-07 19:41:55,026 : INFO : -8.185 per-word bound, 291.0 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:41:55,027 : INFO : PROGRESS: pass 10, at document #3701/3701 2019-03-07 19:41:55,150 : INFO : optimized alpha [0.4036732, 0.120880015, 0.34760842, 0.30531248, 0.23899914] 2019-03-07 19:41:55,152 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:41:55,159 : INFO : topic #0 (0.404): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.005*"neural_network" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"least_year" + 0.003*"team_member" + 0.003*"best_practice" 2019-03-07 19:41:55,160 : INFO : topic #1 (0.121): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"must_able" 2019-03-07 19:41:55,162 : INFO : topic #2 (0.348): 0.009*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"apache_spark" + 0.006*"large_scale" + 0.005*"speech_recognition" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.005*"software_development" + 0.004*"world_class" 2019-03-07 19:41:55,165 : INFO : topic #3 (0.305): 0.006*"neural_network" + 0.005*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:41:55,167 : INFO : topic #4 (0.239): 0.009*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.004*"real_time" + 0.004*"integration" + 0.004*"control" + 0.004*"bachelor_degree" + 0.003*"signal_processing" + 0.003*"high_performance" 2019-03-07 19:41:55,169 : INFO : topic diff=0.130874, rho=0.233114 2019-03-07 19:41:55,910 : INFO : -8.295 per-word bound, 314.1 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:41:55,911 : INFO : PROGRESS: pass 11, at document #500/3701 2019-03-07 19:41:56,222 : INFO : optimized alpha [0.41633698, 0.112901494, 0.36102092, 0.308044, 0.2235349] 2019-03-07 19:41:56,223 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:56,228 : INFO : topic #0 (0.416): 0.012*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"problem_solving" + 0.004*"advanced_analytics" + 0.003*"team_member" + 0.003*"best_practice" + 0.003*"least_year" 2019-03-07 19:41:56,230 : INFO : topic #1 (0.113): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:41:56,231 : INFO : topic #2 (0.361): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"apache_spark" + 0.005*"software_development" + 0.004*"speech_recognition" + 0.004*"next_generation" + 0.004*"neural_network" 2019-03-07 19:41:56,232 : INFO : topic #3 (0.308): 0.005*"health" + 0.005*"full_time" + 0.004*"neural_network" + 0.004*"student" + 0.004*"medical" + 0.004*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"please" + 0.003*"more_than" 2019-03-07 19:41:56,234 : INFO : topic #4 (0.224): 0.010*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.004*"apache" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"bachelor_degree" + 0.003*"agile" + 0.003*"signal_processing" 2019-03-07 19:41:56,236 : INFO : topic diff=0.115708, rho=0.227027 2019-03-07 19:41:57,023 : INFO : -8.236 per-word bound, 301.5 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:41:57,024 : INFO : PROGRESS: pass 11, at document #1000/3701 2019-03-07 19:41:57,358 : INFO : optimized alpha [0.44315925, 0.11512881, 0.32408947, 0.3211964, 0.2355669] 2019-03-07 19:41:57,359 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:57,365 : INFO : topic #0 (0.443): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"mining" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"neural_network" + 0.003*"predictive" + 0.003*"text_mining" 2019-03-07 19:41:57,367 : INFO : topic #1 (0.115): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.005*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:41:57,368 : INFO : topic #2 (0.324): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.007*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"software_development" + 0.004*"apache_spark" + 0.004*"next_generation" + 0.004*"speech_recognition" + 0.004*"passionate_about" 2019-03-07 19:41:57,370 : INFO : topic #3 (0.321): 0.006*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"university" + 0.004*"clinical" + 0.004*"student" + 0.004*"neural_network" + 0.004*"please" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:41:57,371 : INFO : topic #4 (0.236): 0.009*"software_development" + 0.007*"security" + 0.006*"pattern_recognition" + 0.006*"familiarity_with" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"clearance" + 0.003*"bachelor_degree" 2019-03-07 19:41:57,373 : INFO : topic diff=0.143575, rho=0.227027 2019-03-07 19:41:58,020 : INFO : -8.329 per-word bound, 321.6 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:41:58,021 : INFO : PROGRESS: pass 11, at document #1500/3701 2019-03-07 19:41:58,304 : INFO : optimized alpha [0.46925583, 0.11378062, 0.3561482, 0.34178355, 0.2336277] 2019-03-07 19:41:58,305 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:58,311 : INFO : topic #0 (0.469): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.004*"mining" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"best_practice" 2019-03-07 19:41:58,312 : INFO : topic #1 (0.114): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:41:58,313 : INFO : topic #2 (0.356): 0.007*"computer_vision" + 0.007*"large_scale" + 0.006*"artificial_intelligence" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"passionate_about" + 0.004*"world_class" + 0.003*"google" 2019-03-07 19:41:58,315 : INFO : topic #3 (0.342): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"please" + 0.004*"university" + 0.004*"student" + 0.003*"internship" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:41:58,316 : INFO : topic #4 (0.234): 0.008*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"pattern_recognition" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"bachelor_degree" + 0.003*"high_performance" + 0.003*"control" 2019-03-07 19:41:58,317 : INFO : topic diff=0.100834, rho=0.227027 2019-03-07 19:41:59,060 : INFO : -8.363 per-word bound, 329.2 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:41:59,061 : INFO : PROGRESS: pass 11, at document #2000/3701 2019-03-07 19:41:59,369 : INFO : optimized alpha [0.51818055, 0.11560768, 0.3802068, 0.3533997, 0.25510383] 2019-03-07 19:41:59,370 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:41:59,376 : INFO : topic #0 (0.518): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"best_practice" + 0.003*"text_analytics" + 0.003*"mining" + 0.003*"bachelor_degree" 2019-03-07 19:41:59,377 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:41:59,378 : INFO : topic #2 (0.380): 0.008*"apache_spark" + 0.006*"large_scale" + 0.006*"computer_vision" + 0.006*"software_engineer" + 0.006*"artificial_intelligence" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.003*"world_class" 2019-03-07 19:41:59,380 : INFO : topic #3 (0.353): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"internship" + 0.003*"university" + 0.003*"please" + 0.003*"student" + 0.003*"healthcare" + 0.003*"clinical" 2019-03-07 19:41:59,382 : INFO : topic #4 (0.255): 0.008*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.004*"real_time" + 0.004*"integration" + 0.004*"pattern_recognition" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"high_performance" 2019-03-07 19:41:59,383 : INFO : topic diff=0.111810, rho=0.227027 2019-03-07 19:42:00,127 : INFO : -8.221 per-word bound, 298.4 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:42:00,128 : INFO : PROGRESS: pass 11, at document #2500/3701 2019-03-07 19:42:00,429 : INFO : optimized alpha [0.513616, 0.11633679, 0.39640114, 0.33738938, 0.2766878] 2019-03-07 19:42:00,430 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:00,436 : INFO : topic #0 (0.514): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"best_practice" + 0.004*"advanced_analytics" + 0.004*"least_year" + 0.003*"problem_solving" + 0.003*"bachelor_degree" + 0.003*"team_member" 2019-03-07 19:42:00,437 : INFO : topic #1 (0.116): 0.005*"others" + 0.005*"essential_function" + 0.004*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"high_school" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:42:00,438 : INFO : topic #2 (0.396): 0.013*"apache_spark" + 0.007*"software_engineer" + 0.007*"large_scale" + 0.005*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.004*"open_source" 2019-03-07 19:42:00,441 : INFO : topic #3 (0.337): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"please" + 0.003*"university" + 0.003*"internship" + 0.003*"healthcare" + 0.003*"student" + 0.003*"clinical" 2019-03-07 19:42:00,442 : INFO : topic #4 (0.277): 0.009*"software_development" + 0.008*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"open_source" + 0.004*"bachelor_degree" + 0.003*"hadoop" 2019-03-07 19:42:00,443 : INFO : topic diff=0.145019, rho=0.227027 2019-03-07 19:42:01,367 : INFO : -8.053 per-word bound, 265.5 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:42:01,368 : INFO : PROGRESS: pass 11, at document #3000/3701 2019-03-07 19:42:01,729 : INFO : optimized alpha [0.40559337, 0.12722324, 0.3424995, 0.28842804, 0.23979595] 2019-03-07 19:42:01,730 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:01,736 : INFO : topic #0 (0.406): 0.010*"data_scientist" + 0.005*"data_set" + 0.004*"data_mining" + 0.004*"this_role" + 0.004*"best_practice" + 0.004*"least_year" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"advanced_analytics" 2019-03-07 19:42:01,737 : INFO : topic #1 (0.127): 0.005*"others" + 0.004*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"high_school" + 0.003*"policy_procedure" + 0.003*"essential" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:42:01,739 : INFO : topic #2 (0.342): 0.010*"apache_spark" + 0.008*"speech_recognition" + 0.006*"software_engineer" + 0.006*"large_scale" + 0.005*"artificial_intelligence" + 0.005*"software_development" + 0.005*"computer_vision" + 0.005*"amazon" + 0.004*"cutting_edge" + 0.004*"passionate_about" 2019-03-07 19:42:01,740 : INFO : topic #3 (0.288): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"more_than" + 0.003*"please" + 0.003*"healthcare" + 0.003*"university" + 0.003*"patient" + 0.003*"clinical" 2019-03-07 19:42:01,744 : INFO : topic #4 (0.240): 0.010*"software_development" + 0.008*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"open_source" + 0.003*"hadoop" 2019-03-07 19:42:01,745 : INFO : topic diff=0.225318, rho=0.227027 2019-03-07 19:42:02,466 : INFO : -8.283 per-word bound, 311.4 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:42:02,467 : INFO : PROGRESS: pass 11, at document #3500/3701 2019-03-07 19:42:02,792 : INFO : optimized alpha [0.41984704, 0.1262484, 0.3463155, 0.30482617, 0.2430089] 2019-03-07 19:42:02,793 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:02,799 : INFO : topic #0 (0.420): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"least_year" + 0.003*"best_practice" + 0.003*"advanced_analytics" 2019-03-07 19:42:02,800 : INFO : topic #1 (0.126): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"appropriate" 2019-03-07 19:42:02,801 : INFO : topic #2 (0.346): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"speech_recognition" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"amazon" + 0.004*"passionate_about" 2019-03-07 19:42:02,803 : INFO : topic #3 (0.305): 0.006*"health" + 0.004*"medical" + 0.004*"full_time" + 0.004*"student" + 0.004*"neural_network" + 0.003*"please" + 0.003*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"more_than" 2019-03-07 19:42:02,804 : INFO : topic #4 (0.243): 0.010*"software_development" + 0.007*"security" + 0.006*"apache" + 0.006*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"bachelor_degree" + 0.004*"agile" + 0.003*"open_source" + 0.003*"signal_processing" 2019-03-07 19:42:02,805 : INFO : topic diff=0.113495, rho=0.227027 2019-03-07 19:42:03,087 : INFO : -8.184 per-word bound, 290.8 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:42:03,088 : INFO : PROGRESS: pass 11, at document #3701/3701 2019-03-07 19:42:03,207 : INFO : optimized alpha [0.40657103, 0.12099451, 0.34895137, 0.30745018, 0.24023543] 2019-03-07 19:42:03,207 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:42:03,213 : INFO : topic #0 (0.407): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.005*"neural_network" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"least_year" + 0.003*"best_practice" 2019-03-07 19:42:03,214 : INFO : topic #1 (0.121): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"must_able" 2019-03-07 19:42:03,216 : INFO : topic #2 (0.349): 0.009*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"apache_spark" + 0.006*"large_scale" + 0.005*"speech_recognition" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.005*"software_development" + 0.004*"next_generation" 2019-03-07 19:42:03,218 : INFO : topic #3 (0.307): 0.005*"neural_network" + 0.005*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:42:03,220 : INFO : topic #4 (0.240): 0.010*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"control" + 0.004*"bachelor_degree" + 0.003*"signal_processing" + 0.003*"high_performance" 2019-03-07 19:42:03,221 : INFO : topic diff=0.123380, rho=0.227027 2019-03-07 19:42:03,930 : INFO : -8.293 per-word bound, 313.6 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:42:03,931 : INFO : PROGRESS: pass 12, at document #500/3701 2019-03-07 19:42:04,238 : INFO : optimized alpha [0.41877058, 0.11320131, 0.3621373, 0.3099328, 0.2246874] 2019-03-07 19:42:04,239 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:04,245 : INFO : topic #0 (0.419): 0.012*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"problem_solving" + 0.004*"advanced_analytics" + 0.003*"team_member" + 0.003*"best_practice" + 0.003*"cross_functional" 2019-03-07 19:42:04,246 : INFO : topic #1 (0.113): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:42:04,247 : INFO : topic #2 (0.362): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"apache_spark" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"speech_recognition" + 0.004*"next_generation" + 0.004*"neural_network" 2019-03-07 19:42:04,249 : INFO : topic #3 (0.310): 0.005*"health" + 0.005*"full_time" + 0.004*"neural_network" + 0.004*"student" + 0.004*"medical" + 0.004*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"please" + 0.003*"more_than" 2019-03-07 19:42:04,250 : INFO : topic #4 (0.225): 0.010*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.004*"apache" + 0.004*"real_time" + 0.004*"integration" + 0.003*"bachelor_degree" + 0.003*"control" + 0.003*"agile" + 0.003*"high_performance" 2019-03-07 19:42:04,251 : INFO : topic diff=0.110756, rho=0.221393 2019-03-07 19:42:05,050 : INFO : -8.235 per-word bound, 301.2 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:42:05,050 : INFO : PROGRESS: pass 12, at document #1000/3701 2019-03-07 19:42:05,381 : INFO : optimized alpha [0.44501665, 0.11536024, 0.32606864, 0.32297397, 0.23623784] 2019-03-07 19:42:05,382 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:05,387 : INFO : topic #0 (0.445): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"mining" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"neural_network" + 0.003*"predictive" + 0.003*"text_mining" 2019-03-07 19:42:05,388 : INFO : topic #1 (0.115): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.005*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:42:05,390 : INFO : topic #2 (0.326): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.007*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"apache_spark" + 0.004*"next_generation" + 0.004*"speech_recognition" + 0.004*"passionate_about" 2019-03-07 19:42:05,392 : INFO : topic #3 (0.323): 0.006*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"university" + 0.004*"clinical" + 0.004*"student" + 0.004*"neural_network" + 0.004*"please" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:42:05,393 : INFO : topic #4 (0.236): 0.009*"software_development" + 0.007*"security" + 0.006*"pattern_recognition" + 0.006*"familiarity_with" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"clearance" + 0.003*"bachelor_degree" 2019-03-07 19:42:05,395 : INFO : topic diff=0.137927, rho=0.221393 2019-03-07 19:42:06,045 : INFO : -8.328 per-word bound, 321.5 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:42:06,046 : INFO : PROGRESS: pass 12, at document #1500/3701 2019-03-07 19:42:06,331 : INFO : optimized alpha [0.47066346, 0.11403741, 0.3575537, 0.34332785, 0.23461471] 2019-03-07 19:42:06,332 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:06,338 : INFO : topic #0 (0.471): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.004*"mining" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"best_practice" 2019-03-07 19:42:06,339 : INFO : topic #1 (0.114): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:42:06,340 : INFO : topic #2 (0.358): 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"artificial_intelligence" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"passionate_about" + 0.004*"world_class" + 0.003*"apache_spark" 2019-03-07 19:42:06,342 : INFO : topic #3 (0.343): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"please" + 0.004*"university" + 0.004*"student" + 0.003*"internship" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:42:06,344 : INFO : topic #4 (0.235): 0.008*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"pattern_recognition" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"high_performance" + 0.003*"bachelor_degree" + 0.003*"control" 2019-03-07 19:42:06,345 : INFO : topic diff=0.097284, rho=0.221393 2019-03-07 19:42:07,109 : INFO : -8.360 per-word bound, 328.6 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:42:07,110 : INFO : PROGRESS: pass 12, at document #2000/3701 2019-03-07 19:42:07,454 : INFO : optimized alpha [0.51838386, 0.11580168, 0.38097668, 0.35469687, 0.25586197] 2019-03-07 19:42:07,455 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:07,462 : INFO : topic #0 (0.518): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"best_practice" + 0.003*"text_analytics" + 0.003*"mining" + 0.003*"bachelor_degree" 2019-03-07 19:42:07,467 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:42:07,470 : INFO : topic #2 (0.381): 0.008*"apache_spark" + 0.006*"large_scale" + 0.006*"computer_vision" + 0.006*"software_engineer" + 0.006*"artificial_intelligence" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.003*"world_class" 2019-03-07 19:42:07,472 : INFO : topic #3 (0.355): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"internship" + 0.003*"university" + 0.003*"please" + 0.003*"student" + 0.003*"healthcare" + 0.003*"clinical" 2019-03-07 19:42:07,473 : INFO : topic #4 (0.256): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.004*"real_time" + 0.004*"integration" + 0.004*"pattern_recognition" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"high_performance" 2019-03-07 19:42:07,475 : INFO : topic diff=0.106747, rho=0.221393 2019-03-07 19:42:08,291 : INFO : -8.219 per-word bound, 298.0 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:42:08,291 : INFO : PROGRESS: pass 12, at document #2500/3701 2019-03-07 19:42:08,607 : INFO : optimized alpha [0.5140188, 0.11649981, 0.39645624, 0.33928365, 0.27727866] 2019-03-07 19:42:08,610 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:08,616 : INFO : topic #0 (0.514): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"best_practice" + 0.003*"least_year" + 0.003*"problem_solving" + 0.003*"bachelor_degree" + 0.003*"team_member" 2019-03-07 19:42:08,617 : INFO : topic #1 (0.116): 0.005*"others" + 0.005*"essential_function" + 0.004*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"high_school" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:42:08,619 : INFO : topic #2 (0.396): 0.013*"apache_spark" + 0.007*"software_engineer" + 0.007*"large_scale" + 0.005*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.004*"open_source" 2019-03-07 19:42:08,620 : INFO : topic #3 (0.339): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"please" + 0.003*"university" + 0.003*"internship" + 0.003*"healthcare" + 0.003*"student" + 0.003*"clinical" 2019-03-07 19:42:08,622 : INFO : topic #4 (0.277): 0.010*"software_development" + 0.008*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"open_source" + 0.004*"bachelor_degree" + 0.003*"hadoop" 2019-03-07 19:42:08,623 : INFO : topic diff=0.138240, rho=0.221393 2019-03-07 19:42:09,570 : INFO : -8.050 per-word bound, 265.0 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:42:09,570 : INFO : PROGRESS: pass 12, at document #3000/3701 2019-03-07 19:42:09,911 : INFO : optimized alpha [0.40879565, 0.12712169, 0.34405023, 0.2911362, 0.24116841] 2019-03-07 19:42:09,912 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:09,918 : INFO : topic #0 (0.409): 0.010*"data_scientist" + 0.005*"data_set" + 0.004*"data_mining" + 0.004*"this_role" + 0.004*"best_practice" + 0.004*"least_year" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"advanced_analytics" + 0.003*"team_member" 2019-03-07 19:42:09,919 : INFO : topic #1 (0.127): 0.005*"others" + 0.004*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"high_school" + 0.003*"policy_procedure" + 0.003*"essential" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:42:09,921 : INFO : topic #2 (0.344): 0.010*"apache_spark" + 0.007*"speech_recognition" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"artificial_intelligence" + 0.005*"software_development" + 0.005*"computer_vision" + 0.005*"amazon" + 0.004*"cutting_edge" + 0.004*"passionate_about" 2019-03-07 19:42:09,922 : INFO : topic #3 (0.291): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"more_than" + 0.003*"please" + 0.003*"healthcare" + 0.003*"university" + 0.003*"patient" + 0.003*"clinical" 2019-03-07 19:42:09,923 : INFO : topic #4 (0.241): 0.010*"software_development" + 0.008*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"open_source" + 0.003*"hadoop" 2019-03-07 19:42:09,925 : INFO : topic diff=0.220072, rho=0.221393 2019-03-07 19:42:10,973 : INFO : -8.280 per-word bound, 310.9 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:42:10,974 : INFO : PROGRESS: pass 12, at document #3500/3701 2019-03-07 19:42:11,527 : INFO : optimized alpha [0.42255846, 0.12619874, 0.3478859, 0.30709344, 0.24408036] 2019-03-07 19:42:11,528 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:11,534 : INFO : topic #0 (0.423): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"best_practice" + 0.003*"least_year" + 0.003*"advanced_analytics" 2019-03-07 19:42:11,535 : INFO : topic #1 (0.126): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"appropriate" 2019-03-07 19:42:11,536 : INFO : topic #2 (0.348): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"speech_recognition" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"amazon" + 0.004*"passionate_about" 2019-03-07 19:42:11,537 : INFO : topic #3 (0.307): 0.006*"health" + 0.004*"medical" + 0.004*"full_time" + 0.004*"student" + 0.004*"neural_network" + 0.003*"please" + 0.003*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"more_than" 2019-03-07 19:42:11,539 : INFO : topic #4 (0.244): 0.011*"software_development" + 0.007*"security" + 0.006*"apache" + 0.006*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"open_source" + 0.003*"signal_processing" 2019-03-07 19:42:11,540 : INFO : topic diff=0.107749, rho=0.221393 2019-03-07 19:42:11,923 : INFO : -8.183 per-word bound, 290.7 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:42:11,923 : INFO : PROGRESS: pass 12, at document #3701/3701 2019-03-07 19:42:12,048 : INFO : optimized alpha [0.40912107, 0.12109322, 0.3503793, 0.3094342, 0.24122879] 2019-03-07 19:42:12,049 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:42:12,055 : INFO : topic #0 (0.409): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.005*"neural_network" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"least_year" + 0.003*"best_practice" 2019-03-07 19:42:12,056 : INFO : topic #1 (0.121): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"must_able" 2019-03-07 19:42:12,057 : INFO : topic #2 (0.350): 0.009*"computer_vision" + 0.007*"artificial_intelligence" + 0.007*"apache_spark" + 0.006*"large_scale" + 0.005*"speech_recognition" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.005*"software_development" + 0.004*"next_generation" 2019-03-07 19:42:12,058 : INFO : topic #3 (0.309): 0.005*"neural_network" + 0.005*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:42:12,060 : INFO : topic #4 (0.241): 0.010*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"bachelor_degree" + 0.004*"control" + 0.003*"signal_processing" + 0.003*"agile" 2019-03-07 19:42:12,061 : INFO : topic diff=0.116983, rho=0.221393 2019-03-07 19:42:12,762 : INFO : -8.291 per-word bound, 313.2 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:42:12,763 : INFO : PROGRESS: pass 13, at document #500/3701 2019-03-07 19:42:13,091 : INFO : optimized alpha [0.42095035, 0.11341923, 0.36337566, 0.3118115, 0.22590569] 2019-03-07 19:42:13,092 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:13,098 : INFO : topic #0 (0.421): 0.012*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"problem_solving" + 0.004*"advanced_analytics" + 0.003*"team_member" + 0.003*"best_practice" + 0.003*"cross_functional" 2019-03-07 19:42:13,099 : INFO : topic #1 (0.113): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:42:13,100 : INFO : topic #2 (0.363): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"apache_spark" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"speech_recognition" + 0.004*"next_generation" + 0.004*"neural_network" 2019-03-07 19:42:13,102 : INFO : topic #3 (0.312): 0.006*"health" + 0.005*"full_time" + 0.004*"neural_network" + 0.004*"student" + 0.004*"medical" + 0.004*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"please" + 0.003*"more_than" 2019-03-07 19:42:13,104 : INFO : topic #4 (0.226): 0.010*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.004*"real_time" + 0.004*"integration" + 0.003*"bachelor_degree" + 0.003*"control" + 0.003*"agile" + 0.003*"high_performance" 2019-03-07 19:42:13,106 : INFO : topic diff=0.106377, rho=0.216159 2019-03-07 19:42:13,977 : INFO : -8.234 per-word bound, 301.0 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:42:13,978 : INFO : PROGRESS: pass 13, at document #1000/3701 2019-03-07 19:42:14,339 : INFO : optimized alpha [0.44667763, 0.11552308, 0.32826802, 0.32466134, 0.2371193] 2019-03-07 19:42:14,340 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:14,346 : INFO : topic #0 (0.447): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"mining" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"neural_network" + 0.003*"predictive" + 0.003*"text_mining" 2019-03-07 19:42:14,347 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.005*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:42:14,348 : INFO : topic #2 (0.328): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.007*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.004*"apache_spark" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"speech_recognition" + 0.004*"passionate_about" 2019-03-07 19:42:14,350 : INFO : topic #3 (0.325): 0.006*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"university" + 0.004*"clinical" + 0.004*"student" + 0.004*"neural_network" + 0.003*"please" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:42:14,352 : INFO : topic #4 (0.237): 0.009*"software_development" + 0.007*"security" + 0.006*"pattern_recognition" + 0.006*"familiarity_with" + 0.005*"signal_processing" + 0.005*"real_time" + 0.004*"integration" + 0.003*"control" + 0.003*"bachelor_degree" + 0.003*"clearance" 2019-03-07 19:42:14,353 : INFO : topic diff=0.132897, rho=0.216159 2019-03-07 19:42:15,048 : INFO : -8.328 per-word bound, 321.3 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:42:15,048 : INFO : PROGRESS: pass 13, at document #1500/3701 2019-03-07 19:42:15,334 : INFO : optimized alpha [0.4718214, 0.114223845, 0.35914698, 0.34463927, 0.23550184] 2019-03-07 19:42:15,335 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:15,341 : INFO : topic #0 (0.472): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.004*"mining" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"best_practice" 2019-03-07 19:42:15,342 : INFO : topic #1 (0.114): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:42:15,343 : INFO : topic #2 (0.359): 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"artificial_intelligence" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.004*"next_generation" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"world_class" + 0.003*"apache_spark" 2019-03-07 19:42:15,345 : INFO : topic #3 (0.345): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"please" + 0.004*"university" + 0.004*"student" + 0.003*"internship" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:42:15,347 : INFO : topic #4 (0.236): 0.008*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"pattern_recognition" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"high_performance" + 0.003*"bachelor_degree" + 0.003*"control" 2019-03-07 19:42:15,348 : INFO : topic diff=0.094215, rho=0.216159 2019-03-07 19:42:16,070 : INFO : -8.358 per-word bound, 328.1 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:42:16,071 : INFO : PROGRESS: pass 13, at document #2000/3701 2019-03-07 19:42:16,375 : INFO : optimized alpha [0.51842326, 0.11598809, 0.38192022, 0.3557885, 0.25653982] 2019-03-07 19:42:16,376 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:16,382 : INFO : topic #0 (0.518): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"best_practice" + 0.003*"text_analytics" + 0.003*"mining" + 0.003*"bachelor_degree" 2019-03-07 19:42:16,383 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:42:16,384 : INFO : topic #2 (0.382): 0.008*"apache_spark" + 0.006*"large_scale" + 0.006*"computer_vision" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.003*"world_class" 2019-03-07 19:42:16,385 : INFO : topic #3 (0.356): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"internship" + 0.003*"university" + 0.003*"please" + 0.003*"student" + 0.003*"healthcare" + 0.003*"clinical" 2019-03-07 19:42:16,387 : INFO : topic #4 (0.257): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"pattern_recognition" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"high_performance" 2019-03-07 19:42:16,388 : INFO : topic diff=0.102491, rho=0.216159 2019-03-07 19:42:17,121 : INFO : -8.217 per-word bound, 297.6 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:42:17,122 : INFO : PROGRESS: pass 13, at document #2500/3701 2019-03-07 19:42:17,401 : INFO : optimized alpha [0.51423305, 0.11665454, 0.39670217, 0.34075055, 0.27788705] 2019-03-07 19:42:17,402 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:17,408 : INFO : topic #0 (0.514): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"best_practice" + 0.003*"least_year" + 0.003*"problem_solving" + 0.003*"bachelor_degree" + 0.003*"team_member" 2019-03-07 19:42:17,409 : INFO : topic #1 (0.117): 0.005*"others" + 0.005*"essential_function" + 0.004*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"high_school" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:42:17,410 : INFO : topic #2 (0.397): 0.013*"apache_spark" + 0.007*"software_engineer" + 0.007*"large_scale" + 0.005*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.004*"open_source" 2019-03-07 19:42:17,412 : INFO : topic #3 (0.341): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"please" + 0.003*"university" + 0.003*"internship" + 0.003*"healthcare" + 0.003*"student" + 0.003*"clinical" 2019-03-07 19:42:17,414 : INFO : topic #4 (0.278): 0.010*"software_development" + 0.009*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"open_source" + 0.004*"bachelor_degree" + 0.003*"hadoop" 2019-03-07 19:42:17,415 : INFO : topic diff=0.132446, rho=0.216159 2019-03-07 19:42:18,352 : INFO : -8.048 per-word bound, 264.6 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:42:18,353 : INFO : PROGRESS: pass 13, at document #3000/3701 2019-03-07 19:42:18,728 : INFO : optimized alpha [0.41162717, 0.12702806, 0.34556755, 0.29318616, 0.24262674] 2019-03-07 19:42:18,729 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:18,735 : INFO : topic #0 (0.412): 0.010*"data_scientist" + 0.005*"data_set" + 0.004*"data_mining" + 0.004*"this_role" + 0.004*"best_practice" + 0.004*"least_year" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"advanced_analytics" + 0.003*"team_member" 2019-03-07 19:42:18,736 : INFO : topic #1 (0.127): 0.005*"others" + 0.004*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"high_school" + 0.003*"policy_procedure" + 0.003*"essential" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:42:18,738 : INFO : topic #2 (0.346): 0.010*"apache_spark" + 0.007*"speech_recognition" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"software_development" + 0.005*"amazon" + 0.004*"cutting_edge" + 0.004*"passionate_about" 2019-03-07 19:42:18,740 : INFO : topic #3 (0.293): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"more_than" + 0.003*"please" + 0.003*"healthcare" + 0.003*"university" + 0.003*"patient" + 0.003*"clinical" 2019-03-07 19:42:18,742 : INFO : topic #4 (0.243): 0.010*"software_development" + 0.008*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.004*"open_source" + 0.003*"hadoop" 2019-03-07 19:42:18,743 : INFO : topic diff=0.215285, rho=0.216159 2019-03-07 19:42:19,543 : INFO : -8.278 per-word bound, 310.5 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:42:19,544 : INFO : PROGRESS: pass 13, at document #3500/3701 2019-03-07 19:42:19,892 : INFO : optimized alpha [0.42493507, 0.12614918, 0.3492801, 0.30874217, 0.24534732] 2019-03-07 19:42:19,894 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:19,899 : INFO : topic #0 (0.425): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"best_practice" + 0.003*"least_year" + 0.003*"advanced_analytics" 2019-03-07 19:42:19,900 : INFO : topic #1 (0.126): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"appropriate" 2019-03-07 19:42:19,902 : INFO : topic #2 (0.349): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"speech_recognition" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"amazon" + 0.004*"passionate_about" 2019-03-07 19:42:19,904 : INFO : topic #3 (0.309): 0.006*"health" + 0.004*"medical" + 0.004*"full_time" + 0.004*"student" + 0.004*"neural_network" + 0.003*"please" + 0.003*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"more_than" 2019-03-07 19:42:19,906 : INFO : topic #4 (0.245): 0.011*"software_development" + 0.007*"security" + 0.007*"apache" + 0.006*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"open_source" + 0.003*"high_performance" 2019-03-07 19:42:19,907 : INFO : topic diff=0.103002, rho=0.216159 2019-03-07 19:42:20,229 : INFO : -8.182 per-word bound, 290.5 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:42:20,230 : INFO : PROGRESS: pass 13, at document #3701/3701 2019-03-07 19:42:20,454 : INFO : optimized alpha [0.41136372, 0.12117986, 0.35164085, 0.31088215, 0.24238004] 2019-03-07 19:42:20,456 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:42:20,462 : INFO : topic #0 (0.411): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.005*"neural_network" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.003*"problem_solving" + 0.003*"team_member" + 0.003*"least_year" + 0.003*"best_practice" 2019-03-07 19:42:20,463 : INFO : topic #1 (0.121): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"must_able" 2019-03-07 19:42:20,465 : INFO : topic #2 (0.352): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.007*"apache_spark" + 0.006*"large_scale" + 0.005*"speech_recognition" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.005*"software_development" + 0.004*"next_generation" 2019-03-07 19:42:20,467 : INFO : topic #3 (0.311): 0.005*"neural_network" + 0.005*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:42:20,469 : INFO : topic #4 (0.242): 0.010*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"bachelor_degree" + 0.003*"control" + 0.003*"signal_processing" + 0.003*"agile" 2019-03-07 19:42:20,470 : INFO : topic diff=0.111760, rho=0.216159 2019-03-07 19:42:21,165 : INFO : -8.289 per-word bound, 312.8 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:42:21,165 : INFO : PROGRESS: pass 14, at document #500/3701 2019-03-07 19:42:21,585 : INFO : optimized alpha [0.42279002, 0.11367089, 0.36437094, 0.31311306, 0.22707845] 2019-03-07 19:42:21,586 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:21,591 : INFO : topic #0 (0.423): 0.012*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"problem_solving" + 0.004*"advanced_analytics" + 0.003*"team_member" + 0.003*"best_practice" + 0.003*"cross_functional" 2019-03-07 19:42:21,593 : INFO : topic #1 (0.114): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:42:21,596 : INFO : topic #2 (0.364): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"apache_spark" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"speech_recognition" + 0.004*"next_generation" + 0.004*"neural_network" 2019-03-07 19:42:21,598 : INFO : topic #3 (0.313): 0.006*"health" + 0.005*"full_time" + 0.004*"neural_network" + 0.004*"student" + 0.004*"medical" + 0.004*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"please" + 0.003*"more_than" 2019-03-07 19:42:21,599 : INFO : topic #4 (0.227): 0.010*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.004*"real_time" + 0.004*"integration" + 0.003*"bachelor_degree" + 0.003*"control" + 0.003*"agile" + 0.003*"high_performance" 2019-03-07 19:42:21,600 : INFO : topic diff=0.102664, rho=0.211279 2019-03-07 19:42:22,380 : INFO : -8.233 per-word bound, 300.9 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:42:22,381 : INFO : PROGRESS: pass 14, at document #1000/3701 2019-03-07 19:42:22,817 : INFO : optimized alpha [0.44800386, 0.11571626, 0.32999408, 0.32591078, 0.23785721] 2019-03-07 19:42:22,818 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:22,824 : INFO : topic #0 (0.448): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"mining" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"neural_network" + 0.003*"predictive" + 0.003*"cross_functional" 2019-03-07 19:42:22,825 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.005*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:42:22,826 : INFO : topic #2 (0.330): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.007*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"apache_spark" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"speech_recognition" + 0.004*"passionate_about" 2019-03-07 19:42:22,828 : INFO : topic #3 (0.326): 0.006*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"university" + 0.004*"clinical" + 0.004*"student" + 0.003*"neural_network" + 0.003*"please" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:42:22,830 : INFO : topic #4 (0.238): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.006*"pattern_recognition" + 0.005*"signal_processing" + 0.005*"real_time" + 0.004*"integration" + 0.003*"apache" + 0.003*"control" + 0.003*"bachelor_degree" 2019-03-07 19:42:22,831 : INFO : topic diff=0.128474, rho=0.211279 2019-03-07 19:42:23,512 : INFO : -8.327 per-word bound, 321.2 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:42:23,512 : INFO : PROGRESS: pass 14, at document #1500/3701 2019-03-07 19:42:23,805 : INFO : optimized alpha [0.4726822, 0.11443422, 0.36029235, 0.34559825, 0.23624678] 2019-03-07 19:42:23,806 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:23,812 : INFO : topic #0 (0.473): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.004*"mining" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"best_practice" 2019-03-07 19:42:23,813 : INFO : topic #1 (0.114): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:42:23,814 : INFO : topic #2 (0.360): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.004*"next_generation" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"world_class" + 0.003*"apache_spark" 2019-03-07 19:42:23,816 : INFO : topic #3 (0.346): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"please" + 0.004*"university" + 0.004*"student" + 0.003*"internship" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:42:23,818 : INFO : topic #4 (0.236): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"pattern_recognition" + 0.005*"signal_processing" + 0.004*"real_time" + 0.004*"integration" + 0.003*"high_performance" + 0.003*"bachelor_degree" + 0.003*"control" 2019-03-07 19:42:23,819 : INFO : topic diff=0.091592, rho=0.211279 2019-03-07 19:42:24,546 : INFO : -8.356 per-word bound, 327.6 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:42:24,547 : INFO : PROGRESS: pass 14, at document #2000/3701 2019-03-07 19:42:24,859 : INFO : optimized alpha [0.51823634, 0.11614687, 0.38244125, 0.356701, 0.25704873] 2019-03-07 19:42:24,859 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:24,866 : INFO : topic #0 (0.518): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"best_practice" + 0.003*"text_analytics" + 0.003*"mining" + 0.003*"bachelor_degree" 2019-03-07 19:42:24,867 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:42:24,868 : INFO : topic #2 (0.382): 0.008*"apache_spark" + 0.006*"large_scale" + 0.006*"computer_vision" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.003*"world_class" 2019-03-07 19:42:24,870 : INFO : topic #3 (0.357): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"university" + 0.003*"internship" + 0.003*"please" + 0.003*"student" + 0.003*"healthcare" + 0.003*"clinical" 2019-03-07 19:42:24,872 : INFO : topic #4 (0.257): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"pattern_recognition" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"high_performance" 2019-03-07 19:42:24,873 : INFO : topic diff=0.098899, rho=0.211279 2019-03-07 19:42:25,666 : INFO : -8.216 per-word bound, 297.3 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:42:25,667 : INFO : PROGRESS: pass 14, at document #2500/3701 2019-03-07 19:42:25,965 : INFO : optimized alpha [0.5141899, 0.11678362, 0.3966158, 0.34197918, 0.27823463] 2019-03-07 19:42:25,966 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:25,972 : INFO : topic #0 (0.514): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"best_practice" + 0.003*"least_year" + 0.003*"problem_solving" + 0.003*"bachelor_degree" + 0.003*"team_member" 2019-03-07 19:42:25,974 : INFO : topic #1 (0.117): 0.005*"others" + 0.005*"essential_function" + 0.004*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"high_school" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:42:25,975 : INFO : topic #2 (0.397): 0.013*"apache_spark" + 0.007*"large_scale" + 0.007*"software_engineer" + 0.005*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.004*"amazon" 2019-03-07 19:42:25,977 : INFO : topic #3 (0.342): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"please" + 0.003*"university" + 0.003*"internship" + 0.003*"healthcare" + 0.003*"student" + 0.003*"clinical" 2019-03-07 19:42:25,978 : INFO : topic #4 (0.278): 0.010*"software_development" + 0.009*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"open_source" + 0.004*"bachelor_degree" + 0.003*"hadoop" 2019-03-07 19:42:25,979 : INFO : topic diff=0.127580, rho=0.211279 2019-03-07 19:42:26,917 : INFO : -8.045 per-word bound, 264.2 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:42:26,917 : INFO : PROGRESS: pass 14, at document #3000/3701 2019-03-07 19:42:27,251 : INFO : optimized alpha [0.41416913, 0.12692888, 0.34680867, 0.29536313, 0.24372825] 2019-03-07 19:42:27,252 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:27,258 : INFO : topic #0 (0.414): 0.010*"data_scientist" + 0.005*"data_set" + 0.004*"data_mining" + 0.004*"this_role" + 0.004*"best_practice" + 0.004*"least_year" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"advanced_analytics" + 0.003*"team_member" 2019-03-07 19:42:27,259 : INFO : topic #1 (0.127): 0.005*"others" + 0.004*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"policy_procedure" + 0.003*"high_school" + 0.003*"essential" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:42:27,261 : INFO : topic #2 (0.347): 0.010*"apache_spark" + 0.007*"speech_recognition" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"software_development" + 0.004*"amazon" + 0.004*"cutting_edge" + 0.004*"passionate_about" 2019-03-07 19:42:27,263 : INFO : topic #3 (0.295): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"more_than" + 0.003*"please" + 0.003*"healthcare" + 0.003*"university" + 0.003*"patient" + 0.003*"clinical" 2019-03-07 19:42:27,264 : INFO : topic #4 (0.244): 0.010*"software_development" + 0.008*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.004*"open_source" + 0.003*"hadoop" 2019-03-07 19:42:27,266 : INFO : topic diff=0.210944, rho=0.211279 2019-03-07 19:42:28,247 : INFO : -8.276 per-word bound, 310.1 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:42:28,248 : INFO : PROGRESS: pass 14, at document #3500/3701 2019-03-07 19:42:28,629 : INFO : optimized alpha [0.427121, 0.12609832, 0.35074154, 0.31054527, 0.2463223] 2019-03-07 19:42:28,630 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:28,636 : INFO : topic #0 (0.427): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"best_practice" + 0.003*"least_year" + 0.003*"advanced_analytics" 2019-03-07 19:42:28,637 : INFO : topic #1 (0.126): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"appropriate" 2019-03-07 19:42:28,638 : INFO : topic #2 (0.351): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"speech_recognition" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"amazon" + 0.004*"passionate_about" 2019-03-07 19:42:28,640 : INFO : topic #3 (0.311): 0.006*"health" + 0.004*"medical" + 0.004*"full_time" + 0.004*"student" + 0.004*"neural_network" + 0.003*"please" + 0.003*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"more_than" 2019-03-07 19:42:28,641 : INFO : topic #4 (0.246): 0.011*"software_development" + 0.007*"apache" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"open_source" + 0.003*"high_performance" 2019-03-07 19:42:28,642 : INFO : topic diff=0.099034, rho=0.211279 2019-03-07 19:42:28,940 : INFO : -8.182 per-word bound, 290.4 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:42:28,941 : INFO : PROGRESS: pass 14, at document #3701/3701 2019-03-07 19:42:29,097 : INFO : optimized alpha [0.41365647, 0.12126709, 0.3530335, 0.31252274, 0.24363375] 2019-03-07 19:42:29,099 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:42:29,109 : INFO : topic #0 (0.414): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.005*"neural_network" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"team_member" + 0.003*"least_year" + 0.003*"best_practice" 2019-03-07 19:42:29,111 : INFO : topic #1 (0.121): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"must_able" 2019-03-07 19:42:29,113 : INFO : topic #2 (0.353): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.007*"apache_spark" + 0.006*"large_scale" + 0.005*"speech_recognition" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.004*"software_development" + 0.004*"next_generation" 2019-03-07 19:42:29,122 : INFO : topic #3 (0.313): 0.005*"neural_network" + 0.005*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:42:29,124 : INFO : topic #4 (0.244): 0.010*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"bachelor_degree" + 0.003*"control" + 0.003*"agile" + 0.003*"signal_processing" 2019-03-07 19:42:29,127 : INFO : topic diff=0.107334, rho=0.211279 2019-03-07 19:42:29,925 : INFO : -8.287 per-word bound, 312.4 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:42:29,926 : INFO : PROGRESS: pass 15, at document #500/3701 2019-03-07 19:42:30,288 : INFO : optimized alpha [0.42473078, 0.113916986, 0.3656015, 0.31460583, 0.22845145] 2019-03-07 19:42:30,289 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:30,295 : INFO : topic #0 (0.425): 0.012*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"problem_solving" + 0.004*"advanced_analytics" + 0.003*"team_member" + 0.003*"best_practice" + 0.003*"cross_functional" 2019-03-07 19:42:30,296 : INFO : topic #1 (0.114): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:42:30,298 : INFO : topic #2 (0.366): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"apache_spark" + 0.005*"cutting_edge" + 0.004*"speech_recognition" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"neural_network" 2019-03-07 19:42:30,300 : INFO : topic #3 (0.315): 0.006*"health" + 0.005*"full_time" + 0.004*"neural_network" + 0.004*"student" + 0.004*"medical" + 0.004*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"please" + 0.003*"more_than" 2019-03-07 19:42:30,302 : INFO : topic #4 (0.228): 0.010*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.004*"real_time" + 0.004*"integration" + 0.003*"bachelor_degree" + 0.003*"control" + 0.003*"agile" + 0.003*"high_performance" 2019-03-07 19:42:30,303 : INFO : topic diff=0.099518, rho=0.206716 2019-03-07 19:42:31,123 : INFO : -8.232 per-word bound, 300.7 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:42:31,124 : INFO : PROGRESS: pass 15, at document #1000/3701 2019-03-07 19:42:31,488 : INFO : optimized alpha [0.4494462, 0.11590837, 0.33180037, 0.32723314, 0.23891646] 2019-03-07 19:42:31,489 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:31,495 : INFO : topic #0 (0.449): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"mining" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"neural_network" + 0.003*"predictive" + 0.003*"cross_functional" 2019-03-07 19:42:31,496 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:42:31,498 : INFO : topic #2 (0.332): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.007*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"apache_spark" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"speech_recognition" + 0.004*"passionate_about" 2019-03-07 19:42:31,500 : INFO : topic #3 (0.327): 0.006*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"university" + 0.004*"clinical" + 0.004*"student" + 0.003*"neural_network" + 0.003*"please" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:42:31,502 : INFO : topic #4 (0.239): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"pattern_recognition" + 0.005*"signal_processing" + 0.005*"real_time" + 0.004*"integration" + 0.003*"apache" + 0.003*"control" + 0.003*"bachelor_degree" 2019-03-07 19:42:31,504 : INFO : topic diff=0.124660, rho=0.206716 2019-03-07 19:42:32,387 : INFO : -8.327 per-word bound, 321.1 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:42:32,388 : INFO : PROGRESS: pass 15, at document #1500/3701 2019-03-07 19:42:32,736 : INFO : optimized alpha [0.47368276, 0.11464368, 0.36155552, 0.34657982, 0.23738554] 2019-03-07 19:42:32,737 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:32,743 : INFO : topic #0 (0.474): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.004*"mining" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"best_practice" 2019-03-07 19:42:32,745 : INFO : topic #1 (0.115): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:42:32,747 : INFO : topic #2 (0.362): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.004*"next_generation" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"world_class" + 0.004*"apache_spark" 2019-03-07 19:42:32,748 : INFO : topic #3 (0.347): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"please" + 0.004*"university" + 0.004*"student" + 0.003*"internship" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:42:32,750 : INFO : topic #4 (0.237): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"pattern_recognition" + 0.005*"signal_processing" + 0.005*"real_time" + 0.004*"integration" + 0.003*"high_performance" + 0.003*"bachelor_degree" + 0.003*"control" 2019-03-07 19:42:32,751 : INFO : topic diff=0.089317, rho=0.206716 2019-03-07 19:42:33,481 : INFO : -8.354 per-word bound, 327.2 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:42:33,482 : INFO : PROGRESS: pass 15, at document #2000/3701 2019-03-07 19:42:33,805 : INFO : optimized alpha [0.51823294, 0.11630559, 0.38302267, 0.35763165, 0.25785264] 2019-03-07 19:42:33,806 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:33,812 : INFO : topic #0 (0.518): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"best_practice" + 0.003*"text_analytics" + 0.003*"mining" + 0.003*"bachelor_degree" 2019-03-07 19:42:33,813 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:42:33,814 : INFO : topic #2 (0.383): 0.008*"apache_spark" + 0.006*"large_scale" + 0.006*"computer_vision" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.003*"world_class" 2019-03-07 19:42:33,816 : INFO : topic #3 (0.358): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"university" + 0.003*"please" + 0.003*"internship" + 0.003*"student" + 0.003*"healthcare" + 0.003*"clinical" 2019-03-07 19:42:33,818 : INFO : topic #4 (0.258): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"pattern_recognition" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"high_performance" 2019-03-07 19:42:33,819 : INFO : topic diff=0.095768, rho=0.206716 2019-03-07 19:42:34,568 : INFO : -8.214 per-word bound, 297.0 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:42:34,568 : INFO : PROGRESS: pass 15, at document #2500/3701 2019-03-07 19:42:34,874 : INFO : optimized alpha [0.51429164, 0.116916, 0.396648, 0.34318787, 0.27886507] 2019-03-07 19:42:34,875 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:34,881 : INFO : topic #0 (0.514): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"best_practice" + 0.003*"least_year" + 0.003*"problem_solving" + 0.003*"bachelor_degree" + 0.003*"team_member" 2019-03-07 19:42:34,882 : INFO : topic #1 (0.117): 0.005*"others" + 0.005*"essential_function" + 0.004*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"high_school" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:42:34,884 : INFO : topic #2 (0.397): 0.013*"apache_spark" + 0.007*"large_scale" + 0.006*"software_engineer" + 0.005*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.004*"amazon" 2019-03-07 19:42:34,886 : INFO : topic #3 (0.343): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"university" + 0.003*"please" + 0.003*"internship" + 0.003*"healthcare" + 0.003*"student" + 0.003*"clinical" 2019-03-07 19:42:34,887 : INFO : topic #4 (0.279): 0.010*"software_development" + 0.009*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"open_source" + 0.004*"bachelor_degree" + 0.004*"hadoop" 2019-03-07 19:42:34,888 : INFO : topic diff=0.123463, rho=0.206716 2019-03-07 19:42:35,858 : INFO : -8.043 per-word bound, 263.8 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:42:35,859 : INFO : PROGRESS: pass 15, at document #3000/3701 2019-03-07 19:42:36,202 : INFO : optimized alpha [0.41654924, 0.12684552, 0.3480052, 0.29730746, 0.24493687] 2019-03-07 19:42:36,203 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:36,210 : INFO : topic #0 (0.417): 0.010*"data_scientist" + 0.005*"data_set" + 0.004*"data_mining" + 0.004*"this_role" + 0.004*"best_practice" + 0.004*"least_year" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"advanced_analytics" + 0.003*"team_member" 2019-03-07 19:42:36,212 : INFO : topic #1 (0.127): 0.005*"others" + 0.005*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"policy_procedure" + 0.003*"high_school" + 0.003*"essential" + 0.003*"appropriate" + 0.003*"procedure" 2019-03-07 19:42:36,213 : INFO : topic #2 (0.348): 0.010*"apache_spark" + 0.007*"speech_recognition" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.006*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"software_development" + 0.004*"amazon" + 0.004*"cutting_edge" + 0.004*"passionate_about" 2019-03-07 19:42:36,216 : INFO : topic #3 (0.297): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"more_than" + 0.003*"please" + 0.003*"healthcare" + 0.003*"university" + 0.003*"patient" + 0.003*"clinical" 2019-03-07 19:42:36,217 : INFO : topic #4 (0.245): 0.010*"software_development" + 0.008*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.004*"open_source" + 0.003*"hadoop" 2019-03-07 19:42:36,219 : INFO : topic diff=0.206923, rho=0.206716 2019-03-07 19:42:37,089 : INFO : -8.275 per-word bound, 309.7 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:42:37,090 : INFO : PROGRESS: pass 15, at document #3500/3701 2019-03-07 19:42:37,430 : INFO : optimized alpha [0.4291279, 0.12605482, 0.35187292, 0.31212148, 0.247494] 2019-03-07 19:42:37,431 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:37,437 : INFO : topic #0 (0.429): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"best_practice" + 0.003*"least_year" + 0.003*"advanced_analytics" 2019-03-07 19:42:37,438 : INFO : topic #1 (0.126): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"appropriate" 2019-03-07 19:42:37,440 : INFO : topic #2 (0.352): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"speech_recognition" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"amazon" + 0.004*"passionate_about" 2019-03-07 19:42:37,442 : INFO : topic #3 (0.312): 0.006*"health" + 0.004*"medical" + 0.004*"full_time" + 0.004*"student" + 0.004*"neural_network" + 0.003*"please" + 0.003*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"more_than" 2019-03-07 19:42:37,444 : INFO : topic #4 (0.247): 0.011*"software_development" + 0.007*"apache" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"real_time" + 0.005*"integration" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"open_source" + 0.003*"high_performance" 2019-03-07 19:42:37,445 : INFO : topic diff=0.095675, rho=0.206716 2019-03-07 19:42:37,751 : INFO : -8.181 per-word bound, 290.2 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:42:37,752 : INFO : PROGRESS: pass 15, at document #3701/3701 2019-03-07 19:42:37,885 : INFO : optimized alpha [0.41582584, 0.121350974, 0.35414085, 0.31433892, 0.2447597] 2019-03-07 19:42:37,886 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:42:37,891 : INFO : topic #0 (0.416): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.005*"neural_network" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"team_member" + 0.003*"least_year" + 0.003*"bachelor_degree" 2019-03-07 19:42:37,893 : INFO : topic #1 (0.121): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"must_able" 2019-03-07 19:42:37,894 : INFO : topic #2 (0.354): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.007*"apache_spark" + 0.006*"large_scale" + 0.005*"speech_recognition" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.004*"software_development" + 0.004*"next_generation" 2019-03-07 19:42:37,896 : INFO : topic #3 (0.314): 0.005*"health" + 0.005*"neural_network" + 0.004*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:42:37,898 : INFO : topic #4 (0.245): 0.010*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"bachelor_degree" + 0.003*"control" + 0.003*"agile" + 0.003*"high_performance" 2019-03-07 19:42:37,900 : INFO : topic diff=0.103483, rho=0.206716 2019-03-07 19:42:38,867 : INFO : -8.286 per-word bound, 312.1 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:42:38,868 : INFO : PROGRESS: pass 16, at document #500/3701 2019-03-07 19:42:39,245 : INFO : optimized alpha [0.42655626, 0.11414871, 0.3664949, 0.31624246, 0.22974072] 2019-03-07 19:42:39,247 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:39,254 : INFO : topic #0 (0.427): 0.012*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"problem_solving" + 0.004*"advanced_analytics" + 0.003*"team_member" + 0.003*"best_practice" + 0.003*"cross_functional" 2019-03-07 19:42:39,255 : INFO : topic #1 (0.114): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"appropriate" 2019-03-07 19:42:39,257 : INFO : topic #2 (0.366): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"apache_spark" + 0.005*"cutting_edge" + 0.004*"speech_recognition" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"neural_network" 2019-03-07 19:42:39,259 : INFO : topic #3 (0.316): 0.006*"health" + 0.005*"full_time" + 0.004*"neural_network" + 0.004*"student" + 0.004*"medical" + 0.004*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"please" + 0.003*"more_than" 2019-03-07 19:42:39,261 : INFO : topic #4 (0.230): 0.010*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.004*"real_time" + 0.004*"integration" + 0.003*"bachelor_degree" + 0.003*"agile" + 0.003*"control" + 0.003*"high_performance" 2019-03-07 19:42:39,262 : INFO : topic diff=0.096699, rho=0.202436 2019-03-07 19:42:40,525 : INFO : -8.232 per-word bound, 300.6 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:42:40,526 : INFO : PROGRESS: pass 16, at document #1000/3701 2019-03-07 19:42:40,898 : INFO : optimized alpha [0.4508803, 0.11609422, 0.33339098, 0.3287201, 0.2399969] 2019-03-07 19:42:40,900 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:40,911 : INFO : topic #0 (0.451): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"mining" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"neural_network" + 0.003*"predictive" + 0.003*"cross_functional" 2019-03-07 19:42:40,912 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:42:40,914 : INFO : topic #2 (0.333): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"apache_spark" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"speech_recognition" + 0.004*"passionate_about" 2019-03-07 19:42:40,916 : INFO : topic #3 (0.329): 0.006*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"university" + 0.004*"clinical" + 0.004*"student" + 0.003*"neural_network" + 0.003*"please" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:42:40,918 : INFO : topic #4 (0.240): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"pattern_recognition" + 0.005*"signal_processing" + 0.005*"real_time" + 0.004*"integration" + 0.004*"apache" + 0.003*"bachelor_degree" + 0.003*"control" 2019-03-07 19:42:40,919 : INFO : topic diff=0.121105, rho=0.202436 2019-03-07 19:42:41,960 : INFO : -8.326 per-word bound, 321.0 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:42:41,961 : INFO : PROGRESS: pass 16, at document #1500/3701 2019-03-07 19:42:42,352 : INFO : optimized alpha [0.47466347, 0.11484369, 0.3626134, 0.34770483, 0.23841971] 2019-03-07 19:42:42,353 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:42,361 : INFO : topic #0 (0.475): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.004*"mining" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"best_practice" 2019-03-07 19:42:42,363 : INFO : topic #1 (0.115): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:42:42,375 : INFO : topic #2 (0.363): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.004*"next_generation" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"world_class" + 0.004*"apache_spark" 2019-03-07 19:42:42,377 : INFO : topic #3 (0.348): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"please" + 0.004*"university" + 0.004*"student" + 0.003*"internship" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:42:42,379 : INFO : topic #4 (0.238): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"pattern_recognition" + 0.005*"signal_processing" + 0.005*"real_time" + 0.004*"integration" + 0.003*"high_performance" + 0.003*"bachelor_degree" + 0.003*"control" 2019-03-07 19:42:42,381 : INFO : topic diff=0.087138, rho=0.202436 2019-03-07 19:42:43,290 : INFO : -8.352 per-word bound, 326.8 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:42:43,291 : INFO : PROGRESS: pass 16, at document #2000/3701 2019-03-07 19:42:43,648 : INFO : optimized alpha [0.5182987, 0.116461225, 0.38353854, 0.35856116, 0.25878793] 2019-03-07 19:42:43,651 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:43,657 : INFO : topic #0 (0.518): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"best_practice" + 0.003*"text_analytics" + 0.003*"mining" + 0.003*"bachelor_degree" 2019-03-07 19:42:43,658 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.005*"policy_procedure" + 0.005*"others" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:42:43,660 : INFO : topic #2 (0.384): 0.008*"apache_spark" + 0.006*"large_scale" + 0.006*"computer_vision" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.003*"world_class" 2019-03-07 19:42:43,662 : INFO : topic #3 (0.359): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"university" + 0.003*"please" + 0.003*"internship" + 0.003*"student" + 0.003*"healthcare" + 0.003*"clinical" 2019-03-07 19:42:43,663 : INFO : topic #4 (0.259): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"pattern_recognition" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"agile" 2019-03-07 19:42:43,666 : INFO : topic diff=0.092921, rho=0.202436 2019-03-07 19:42:44,533 : INFO : -8.213 per-word bound, 296.7 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:42:44,534 : INFO : PROGRESS: pass 16, at document #2500/3701 2019-03-07 19:42:44,870 : INFO : optimized alpha [0.5144458, 0.11704781, 0.39667594, 0.34436604, 0.27961645] 2019-03-07 19:42:44,872 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:44,881 : INFO : topic #0 (0.514): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"best_practice" + 0.003*"problem_solving" + 0.003*"least_year" + 0.003*"bachelor_degree" + 0.003*"team_member" 2019-03-07 19:42:44,883 : INFO : topic #1 (0.117): 0.005*"others" + 0.005*"essential_function" + 0.004*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"high_school" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:42:44,886 : INFO : topic #2 (0.397): 0.013*"apache_spark" + 0.007*"large_scale" + 0.006*"software_engineer" + 0.005*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.004*"amazon" 2019-03-07 19:42:44,888 : INFO : topic #3 (0.344): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"university" + 0.003*"please" + 0.003*"internship" + 0.003*"healthcare" + 0.003*"student" + 0.003*"clinical" 2019-03-07 19:42:44,894 : INFO : topic #4 (0.280): 0.010*"software_development" + 0.009*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"open_source" + 0.004*"agile" + 0.004*"hadoop" + 0.004*"bachelor_degree" 2019-03-07 19:42:44,896 : INFO : topic diff=0.119829, rho=0.202436 2019-03-07 19:42:45,994 : INFO : -8.042 per-word bound, 263.5 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:42:45,995 : INFO : PROGRESS: pass 16, at document #3000/3701 2019-03-07 19:42:46,339 : INFO : optimized alpha [0.41889197, 0.12678067, 0.349183, 0.29939005, 0.2464211] 2019-03-07 19:42:46,340 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:46,348 : INFO : topic #0 (0.419): 0.010*"data_scientist" + 0.005*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"best_practice" + 0.004*"bachelor_degree" + 0.004*"least_year" + 0.003*"problem_solving" + 0.003*"advanced_analytics" + 0.003*"cross_functional" 2019-03-07 19:42:46,350 : INFO : topic #1 (0.127): 0.005*"others" + 0.005*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"policy_procedure" + 0.003*"high_school" + 0.003*"essential" + 0.003*"appropriate" + 0.003*"procedure" 2019-03-07 19:42:46,352 : INFO : topic #2 (0.349): 0.010*"apache_spark" + 0.007*"speech_recognition" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.006*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"software_development" + 0.004*"amazon" + 0.004*"cutting_edge" + 0.004*"passionate_about" 2019-03-07 19:42:46,354 : INFO : topic #3 (0.299): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"more_than" + 0.003*"please" + 0.003*"healthcare" + 0.003*"university" + 0.003*"patient" + 0.003*"clinical" 2019-03-07 19:42:46,356 : INFO : topic #4 (0.246): 0.010*"software_development" + 0.008*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"open_source" + 0.004*"bachelor_degree" + 0.003*"hadoop" 2019-03-07 19:42:46,359 : INFO : topic diff=0.203037, rho=0.202436 2019-03-07 19:42:47,254 : INFO : -8.273 per-word bound, 309.3 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:42:47,255 : INFO : PROGRESS: pass 16, at document #3500/3701 2019-03-07 19:42:47,577 : INFO : optimized alpha [0.43109092, 0.12602332, 0.3529512, 0.31383315, 0.2487828] 2019-03-07 19:42:47,578 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:47,584 : INFO : topic #0 (0.431): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"best_practice" + 0.003*"least_year" + 0.003*"advanced_analytics" 2019-03-07 19:42:47,586 : INFO : topic #1 (0.126): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"appropriate" 2019-03-07 19:42:47,587 : INFO : topic #2 (0.353): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"speech_recognition" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"amazon" + 0.004*"passionate_about" 2019-03-07 19:42:47,589 : INFO : topic #3 (0.314): 0.006*"health" + 0.004*"medical" + 0.004*"full_time" + 0.004*"student" + 0.004*"neural_network" + 0.003*"please" + 0.003*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"more_than" 2019-03-07 19:42:47,591 : INFO : topic #4 (0.249): 0.011*"software_development" + 0.007*"apache" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"real_time" + 0.005*"integration" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"open_source" + 0.003*"high_performance" 2019-03-07 19:42:47,592 : INFO : topic diff=0.092635, rho=0.202436 2019-03-07 19:42:47,938 : INFO : -8.181 per-word bound, 290.1 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:42:47,939 : INFO : PROGRESS: pass 16, at document #3701/3701 2019-03-07 19:42:48,073 : INFO : optimized alpha [0.4178702, 0.12143135, 0.35514647, 0.3158878, 0.24594814] 2019-03-07 19:42:48,074 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:42:48,080 : INFO : topic #0 (0.418): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.005*"neural_network" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"team_member" + 0.003*"bachelor_degree" + 0.003*"least_year" 2019-03-07 19:42:48,081 : INFO : topic #1 (0.121): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"must_able" 2019-03-07 19:42:48,083 : INFO : topic #2 (0.355): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.007*"apache_spark" + 0.006*"large_scale" + 0.005*"speech_recognition" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.004*"software_development" + 0.004*"next_generation" 2019-03-07 19:42:48,085 : INFO : topic #3 (0.316): 0.005*"health" + 0.005*"neural_network" + 0.004*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:42:48,087 : INFO : topic #4 (0.246): 0.010*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.006*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"bachelor_degree" + 0.003*"control" + 0.003*"agile" + 0.003*"high_performance" 2019-03-07 19:42:48,088 : INFO : topic diff=0.100072, rho=0.202436 2019-03-07 19:42:48,940 : INFO : -8.284 per-word bound, 311.8 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:42:48,942 : INFO : PROGRESS: pass 17, at document #500/3701 2019-03-07 19:42:49,268 : INFO : optimized alpha [0.42831475, 0.11437208, 0.36731845, 0.31767198, 0.2313184] 2019-03-07 19:42:49,269 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:49,275 : INFO : topic #0 (0.428): 0.012*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"problem_solving" + 0.004*"advanced_analytics" + 0.003*"team_member" + 0.003*"best_practice" + 0.003*"cross_functional" 2019-03-07 19:42:49,277 : INFO : topic #1 (0.114): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"appropriate" 2019-03-07 19:42:49,278 : INFO : topic #2 (0.367): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"apache_spark" + 0.005*"cutting_edge" + 0.004*"speech_recognition" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"neural_network" 2019-03-07 19:42:49,280 : INFO : topic #3 (0.318): 0.006*"health" + 0.005*"full_time" + 0.004*"neural_network" + 0.004*"student" + 0.004*"medical" + 0.004*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"please" + 0.003*"more_than" 2019-03-07 19:42:49,282 : INFO : topic #4 (0.231): 0.010*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.004*"real_time" + 0.004*"integration" + 0.003*"bachelor_degree" + 0.003*"agile" + 0.003*"control" + 0.003*"high_performance" 2019-03-07 19:42:49,284 : INFO : topic diff=0.094116, rho=0.198411 2019-03-07 19:42:50,173 : INFO : -8.231 per-word bound, 300.5 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:42:50,174 : INFO : PROGRESS: pass 17, at document #1000/3701 2019-03-07 19:42:50,713 : INFO : optimized alpha [0.4522069, 0.11627229, 0.33482155, 0.32997543, 0.24129146] 2019-03-07 19:42:50,715 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:50,721 : INFO : topic #0 (0.452): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"mining" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"neural_network" + 0.003*"predictive" + 0.003*"cross_functional" 2019-03-07 19:42:50,722 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:42:50,724 : INFO : topic #2 (0.335): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"apache_spark" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"speech_recognition" + 0.004*"passionate_about" 2019-03-07 19:42:50,726 : INFO : topic #3 (0.330): 0.006*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"university" + 0.004*"student" + 0.004*"clinical" + 0.003*"neural_network" + 0.003*"please" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:42:50,728 : INFO : topic #4 (0.241): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"pattern_recognition" + 0.005*"real_time" + 0.005*"signal_processing" + 0.004*"integration" + 0.004*"apache" + 0.003*"bachelor_degree" + 0.003*"control" 2019-03-07 19:42:50,729 : INFO : topic diff=0.117898, rho=0.198411 2019-03-07 19:42:51,509 : INFO : -8.326 per-word bound, 320.9 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:42:51,509 : INFO : PROGRESS: pass 17, at document #1500/3701 2019-03-07 19:42:52,032 : INFO : optimized alpha [0.4754095, 0.11508732, 0.36365083, 0.3486171, 0.23963463] 2019-03-07 19:42:52,037 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:52,044 : INFO : topic #0 (0.475): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.004*"mining" + 0.003*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"best_practice" 2019-03-07 19:42:52,047 : INFO : topic #1 (0.115): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:42:52,050 : INFO : topic #2 (0.364): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.004*"next_generation" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"apache_spark" + 0.004*"world_class" 2019-03-07 19:42:52,053 : INFO : topic #3 (0.349): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"please" + 0.004*"student" + 0.004*"university" + 0.003*"internship" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:42:52,055 : INFO : topic #4 (0.240): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"pattern_recognition" + 0.005*"signal_processing" + 0.005*"real_time" + 0.004*"integration" + 0.003*"high_performance" + 0.003*"bachelor_degree" + 0.003*"apache" 2019-03-07 19:42:52,058 : INFO : topic diff=0.085097, rho=0.198411 2019-03-07 19:42:53,358 : INFO : -8.351 per-word bound, 326.5 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:42:53,359 : INFO : PROGRESS: pass 17, at document #2000/3701 2019-03-07 19:42:53,877 : INFO : optimized alpha [0.5181778, 0.11665687, 0.38409257, 0.35927802, 0.25980383] 2019-03-07 19:42:53,879 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:53,885 : INFO : topic #0 (0.518): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"best_practice" + 0.003*"text_analytics" + 0.003*"mining" + 0.003*"bachelor_degree" 2019-03-07 19:42:53,887 : INFO : topic #1 (0.117): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:42:53,891 : INFO : topic #2 (0.384): 0.008*"apache_spark" + 0.006*"large_scale" + 0.006*"computer_vision" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.004*"passionate_about" + 0.004*"software_development" + 0.004*"next_generation" + 0.003*"world_class" 2019-03-07 19:42:53,893 : INFO : topic #3 (0.359): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"university" + 0.003*"please" + 0.003*"internship" + 0.003*"student" + 0.003*"healthcare" + 0.003*"clinical" 2019-03-07 19:42:53,897 : INFO : topic #4 (0.260): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"pattern_recognition" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"agile" 2019-03-07 19:42:53,898 : INFO : topic diff=0.090451, rho=0.198411 2019-03-07 19:42:54,966 : INFO : -8.212 per-word bound, 296.5 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:42:54,967 : INFO : PROGRESS: pass 17, at document #2500/3701 2019-03-07 19:42:55,250 : INFO : optimized alpha [0.5144146, 0.117216155, 0.3967648, 0.34534281, 0.28033638] 2019-03-07 19:42:55,251 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:55,257 : INFO : topic #0 (0.514): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"best_practice" + 0.003*"problem_solving" + 0.003*"least_year" + 0.003*"bachelor_degree" + 0.003*"team_member" 2019-03-07 19:42:55,259 : INFO : topic #1 (0.117): 0.005*"others" + 0.005*"essential_function" + 0.004*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"high_school" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:42:55,261 : INFO : topic #2 (0.397): 0.013*"apache_spark" + 0.007*"large_scale" + 0.006*"software_engineer" + 0.005*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.004*"amazon" 2019-03-07 19:42:55,264 : INFO : topic #3 (0.345): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"university" + 0.003*"please" + 0.003*"internship" + 0.003*"healthcare" + 0.003*"student" + 0.003*"clinical" 2019-03-07 19:42:55,266 : INFO : topic #4 (0.280): 0.010*"software_development" + 0.009*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"open_source" + 0.004*"agile" + 0.004*"hadoop" + 0.004*"bachelor_degree" 2019-03-07 19:42:55,268 : INFO : topic diff=0.116557, rho=0.198411 2019-03-07 19:42:56,457 : INFO : -8.040 per-word bound, 263.2 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:42:56,458 : INFO : PROGRESS: pass 17, at document #3000/3701 2019-03-07 19:42:56,920 : INFO : optimized alpha [0.42092693, 0.12676242, 0.3503832, 0.30103666, 0.24774769] 2019-03-07 19:42:56,921 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:56,928 : INFO : topic #0 (0.421): 0.010*"data_scientist" + 0.005*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"best_practice" + 0.004*"bachelor_degree" + 0.004*"least_year" + 0.003*"problem_solving" + 0.003*"advanced_analytics" + 0.003*"cross_functional" 2019-03-07 19:42:56,929 : INFO : topic #1 (0.127): 0.005*"others" + 0.005*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"policy_procedure" + 0.003*"high_school" + 0.003*"essential" + 0.003*"appropriate" + 0.003*"procedure" 2019-03-07 19:42:56,932 : INFO : topic #2 (0.350): 0.010*"apache_spark" + 0.007*"speech_recognition" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.006*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"software_development" + 0.004*"amazon" + 0.004*"cutting_edge" + 0.004*"passionate_about" 2019-03-07 19:42:56,934 : INFO : topic #3 (0.301): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"more_than" + 0.003*"please" + 0.003*"healthcare" + 0.003*"university" + 0.003*"patient" + 0.003*"clinical" 2019-03-07 19:42:56,936 : INFO : topic #4 (0.248): 0.010*"software_development" + 0.008*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"open_source" + 0.004*"bachelor_degree" + 0.003*"hadoop" 2019-03-07 19:42:56,937 : INFO : topic diff=0.199376, rho=0.198411 2019-03-07 19:42:57,976 : INFO : -8.271 per-word bound, 309.0 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:42:57,976 : INFO : PROGRESS: pass 17, at document #3500/3701 2019-03-07 19:42:58,711 : INFO : optimized alpha [0.43273327, 0.12608948, 0.3539964, 0.31512082, 0.24964435] 2019-03-07 19:42:58,713 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:42:58,723 : INFO : topic #0 (0.433): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"best_practice" + 0.003*"advanced_analytics" + 0.003*"least_year" 2019-03-07 19:42:58,725 : INFO : topic #1 (0.126): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"appropriate" 2019-03-07 19:42:58,728 : INFO : topic #2 (0.354): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"artificial_intelligence" + 0.006*"speech_recognition" + 0.006*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"amazon" + 0.004*"passionate_about" 2019-03-07 19:42:58,730 : INFO : topic #3 (0.315): 0.006*"health" + 0.004*"medical" + 0.004*"full_time" + 0.004*"student" + 0.004*"neural_network" + 0.003*"please" + 0.003*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"more_than" 2019-03-07 19:42:58,732 : INFO : topic #4 (0.250): 0.011*"software_development" + 0.007*"apache" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"real_time" + 0.005*"integration" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.003*"open_source" + 0.003*"software_engineer" 2019-03-07 19:42:58,736 : INFO : topic diff=0.090099, rho=0.198411 2019-03-07 19:42:59,294 : INFO : -8.180 per-word bound, 290.0 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:42:59,295 : INFO : PROGRESS: pass 17, at document #3701/3701 2019-03-07 19:42:59,651 : INFO : optimized alpha [0.41963, 0.1215867, 0.35611126, 0.3170441, 0.24676102] 2019-03-07 19:42:59,653 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:42:59,663 : INFO : topic #0 (0.420): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.005*"neural_network" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"team_member" + 0.003*"bachelor_degree" + 0.003*"best_practice" 2019-03-07 19:42:59,665 : INFO : topic #1 (0.122): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"must_able" 2019-03-07 19:42:59,668 : INFO : topic #2 (0.356): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.007*"apache_spark" + 0.006*"large_scale" + 0.005*"speech_recognition" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.004*"software_development" + 0.004*"next_generation" 2019-03-07 19:42:59,670 : INFO : topic #3 (0.317): 0.005*"health" + 0.005*"neural_network" + 0.004*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:42:59,672 : INFO : topic #4 (0.247): 0.010*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.006*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"bachelor_degree" + 0.003*"agile" + 0.003*"control" + 0.003*"high_performance" 2019-03-07 19:42:59,674 : INFO : topic diff=0.097139, rho=0.198411 2019-03-07 19:43:00,883 : INFO : -8.283 per-word bound, 311.5 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:43:00,884 : INFO : PROGRESS: pass 18, at document #500/3701 2019-03-07 19:43:01,307 : INFO : optimized alpha [0.42978725, 0.114645936, 0.3681725, 0.31873104, 0.2323279] 2019-03-07 19:43:01,308 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:43:01,315 : INFO : topic #0 (0.430): 0.012*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"problem_solving" + 0.004*"advanced_analytics" + 0.003*"team_member" + 0.003*"best_practice" + 0.003*"cross_functional" 2019-03-07 19:43:01,317 : INFO : topic #1 (0.115): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"appropriate" 2019-03-07 19:43:01,318 : INFO : topic #2 (0.368): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"apache_spark" + 0.005*"cutting_edge" + 0.004*"speech_recognition" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"neural_network" 2019-03-07 19:43:01,321 : INFO : topic #3 (0.319): 0.006*"health" + 0.005*"full_time" + 0.004*"neural_network" + 0.004*"student" + 0.004*"medical" + 0.004*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"please" + 0.003*"more_than" 2019-03-07 19:43:01,325 : INFO : topic #4 (0.232): 0.010*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.004*"real_time" + 0.004*"integration" + 0.003*"bachelor_degree" + 0.003*"agile" + 0.003*"high_performance" + 0.003*"control" 2019-03-07 19:43:01,328 : INFO : topic diff=0.091859, rho=0.194617 2019-03-07 19:43:02,276 : INFO : -8.231 per-word bound, 300.4 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:43:02,276 : INFO : PROGRESS: pass 18, at document #1000/3701 2019-03-07 19:43:02,682 : INFO : optimized alpha [0.45323253, 0.1164964, 0.33604303, 0.33097652, 0.24204966] 2019-03-07 19:43:02,683 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:43:02,696 : INFO : topic #0 (0.453): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"mining" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"neural_network" + 0.003*"predictive" + 0.003*"cross_functional" 2019-03-07 19:43:02,699 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:43:02,702 : INFO : topic #2 (0.336): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"apache_spark" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"speech_recognition" + 0.004*"passionate_about" 2019-03-07 19:43:02,709 : INFO : topic #3 (0.331): 0.006*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"university" + 0.004*"student" + 0.004*"clinical" + 0.003*"neural_network" + 0.003*"please" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:43:02,712 : INFO : topic #4 (0.242): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"pattern_recognition" + 0.005*"real_time" + 0.005*"signal_processing" + 0.004*"integration" + 0.004*"apache" + 0.003*"bachelor_degree" + 0.003*"control" 2019-03-07 19:43:02,713 : INFO : topic diff=0.115164, rho=0.194617 2019-03-07 19:43:03,505 : INFO : -8.326 per-word bound, 320.8 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:43:03,506 : INFO : PROGRESS: pass 18, at document #1500/3701 2019-03-07 19:43:03,878 : INFO : optimized alpha [0.47606337, 0.115320735, 0.36441988, 0.34931818, 0.2406106] 2019-03-07 19:43:03,880 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:43:03,886 : INFO : topic #0 (0.476): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.004*"mining" + 0.004*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"best_practice" 2019-03-07 19:43:03,887 : INFO : topic #1 (0.115): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:43:03,889 : INFO : topic #2 (0.364): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.004*"next_generation" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"apache_spark" + 0.004*"world_class" 2019-03-07 19:43:03,891 : INFO : topic #3 (0.349): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"please" + 0.004*"student" + 0.004*"university" + 0.003*"internship" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:43:03,893 : INFO : topic #4 (0.241): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"pattern_recognition" + 0.005*"real_time" + 0.005*"signal_processing" + 0.004*"integration" + 0.003*"high_performance" + 0.003*"bachelor_degree" + 0.003*"apache" 2019-03-07 19:43:03,894 : INFO : topic diff=0.083319, rho=0.194617 2019-03-07 19:43:04,983 : INFO : -8.349 per-word bound, 326.2 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:43:04,983 : INFO : PROGRESS: pass 18, at document #2000/3701 2019-03-07 19:43:05,349 : INFO : optimized alpha [0.5179762, 0.116843775, 0.3843916, 0.35977507, 0.26047385] 2019-03-07 19:43:05,350 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:43:05,356 : INFO : topic #0 (0.518): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"best_practice" + 0.003*"text_analytics" + 0.003*"mining" + 0.003*"bachelor_degree" 2019-03-07 19:43:05,357 : INFO : topic #1 (0.117): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:43:05,359 : INFO : topic #2 (0.384): 0.008*"apache_spark" + 0.006*"large_scale" + 0.006*"computer_vision" + 0.006*"artificial_intelligence" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.004*"passionate_about" + 0.004*"software_development" + 0.004*"next_generation" + 0.003*"world_class" 2019-03-07 19:43:05,360 : INFO : topic #3 (0.360): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"university" + 0.003*"please" + 0.003*"internship" + 0.003*"student" + 0.003*"healthcare" + 0.003*"clinical" 2019-03-07 19:43:05,362 : INFO : topic #4 (0.260): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.006*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"pattern_recognition" + 0.004*"signal_processing" + 0.003*"bachelor_degree" + 0.003*"agile" 2019-03-07 19:43:05,363 : INFO : topic diff=0.088309, rho=0.194617 2019-03-07 19:43:06,253 : INFO : -8.211 per-word bound, 296.3 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:43:06,254 : INFO : PROGRESS: pass 18, at document #2500/3701 2019-03-07 19:43:07,045 : INFO : optimized alpha [0.5142874, 0.11737635, 0.39664966, 0.34610617, 0.28070748] 2019-03-07 19:43:07,046 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:43:07,052 : INFO : topic #0 (0.514): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"best_practice" + 0.003*"problem_solving" + 0.003*"least_year" + 0.003*"bachelor_degree" + 0.003*"team_member" 2019-03-07 19:43:07,054 : INFO : topic #1 (0.117): 0.005*"essential_function" + 0.005*"others" + 0.004*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"high_school" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:43:07,055 : INFO : topic #2 (0.397): 0.012*"apache_spark" + 0.007*"large_scale" + 0.006*"software_engineer" + 0.005*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.004*"amazon" 2019-03-07 19:43:07,057 : INFO : topic #3 (0.346): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"university" + 0.003*"please" + 0.003*"internship" + 0.003*"healthcare" + 0.003*"student" + 0.003*"clinical" 2019-03-07 19:43:07,059 : INFO : topic #4 (0.281): 0.010*"software_development" + 0.009*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"open_source" + 0.004*"agile" + 0.004*"hadoop" + 0.004*"bachelor_degree" 2019-03-07 19:43:07,061 : INFO : topic diff=0.113680, rho=0.194617 2019-03-07 19:43:08,126 : INFO : -8.039 per-word bound, 262.9 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:43:08,127 : INFO : PROGRESS: pass 18, at document #3000/3701 2019-03-07 19:43:08,494 : INFO : optimized alpha [0.42272168, 0.12674315, 0.35128206, 0.30244872, 0.24866088] 2019-03-07 19:43:08,495 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:43:08,500 : INFO : topic #0 (0.423): 0.010*"data_scientist" + 0.005*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"best_practice" + 0.004*"bachelor_degree" + 0.004*"least_year" + 0.003*"problem_solving" + 0.003*"advanced_analytics" + 0.003*"cross_functional" 2019-03-07 19:43:08,502 : INFO : topic #1 (0.127): 0.005*"others" + 0.005*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"rule" + 0.003*"policy_procedure" + 0.003*"high_school" + 0.003*"essential" + 0.003*"appropriate" + 0.003*"procedure" 2019-03-07 19:43:08,503 : INFO : topic #2 (0.351): 0.010*"apache_spark" + 0.007*"speech_recognition" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.006*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"software_development" + 0.004*"amazon" + 0.004*"cutting_edge" + 0.004*"passionate_about" 2019-03-07 19:43:08,505 : INFO : topic #3 (0.302): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"more_than" + 0.003*"please" + 0.003*"healthcare" + 0.003*"university" + 0.003*"patient" + 0.003*"clinical" 2019-03-07 19:43:08,507 : INFO : topic #4 (0.249): 0.010*"software_development" + 0.008*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"open_source" + 0.004*"bachelor_degree" + 0.003*"hadoop" 2019-03-07 19:43:08,508 : INFO : topic diff=0.195944, rho=0.194617 2019-03-07 19:43:09,276 : INFO : -8.270 per-word bound, 308.7 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:43:09,277 : INFO : PROGRESS: pass 18, at document #3500/3701 2019-03-07 19:43:09,608 : INFO : optimized alpha [0.4342262, 0.12609385, 0.35481042, 0.31622654, 0.2505549] 2019-03-07 19:43:09,609 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:43:09,615 : INFO : topic #0 (0.434): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"best_practice" + 0.003*"advanced_analytics" + 0.003*"least_year" 2019-03-07 19:43:09,616 : INFO : topic #1 (0.126): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"appropriate" 2019-03-07 19:43:09,618 : INFO : topic #2 (0.355): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"artificial_intelligence" + 0.006*"speech_recognition" + 0.006*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"amazon" + 0.004*"passionate_about" 2019-03-07 19:43:09,619 : INFO : topic #3 (0.316): 0.006*"health" + 0.004*"medical" + 0.004*"full_time" + 0.004*"student" + 0.004*"neural_network" + 0.003*"university" + 0.003*"please" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"more_than" 2019-03-07 19:43:09,621 : INFO : topic #4 (0.251): 0.011*"software_development" + 0.007*"apache" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"real_time" + 0.005*"integration" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.004*"open_source" + 0.003*"software_engineer" 2019-03-07 19:43:09,623 : INFO : topic diff=0.087787, rho=0.194617 2019-03-07 19:43:09,918 : INFO : -8.179 per-word bound, 289.9 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:43:09,919 : INFO : PROGRESS: pass 18, at document #3701/3701 2019-03-07 19:43:10,061 : INFO : optimized alpha [0.42123657, 0.12168279, 0.35686615, 0.31802315, 0.24761303] 2019-03-07 19:43:10,062 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:43:10,068 : INFO : topic #0 (0.421): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.005*"neural_network" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"team_member" + 0.003*"bachelor_degree" + 0.003*"best_practice" 2019-03-07 19:43:10,070 : INFO : topic #1 (0.122): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"must_able" 2019-03-07 19:43:10,071 : INFO : topic #2 (0.357): 0.008*"computer_vision" + 0.007*"apache_spark" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.005*"speech_recognition" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.004*"software_development" + 0.004*"next_generation" 2019-03-07 19:43:10,073 : INFO : topic #3 (0.318): 0.005*"health" + 0.005*"neural_network" + 0.004*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:43:10,075 : INFO : topic #4 (0.248): 0.010*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.006*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"bachelor_degree" + 0.003*"agile" + 0.003*"control" + 0.003*"high_performance" 2019-03-07 19:43:10,076 : INFO : topic diff=0.094529, rho=0.194617 2019-03-07 19:43:10,785 : INFO : -8.282 per-word bound, 311.2 perplexity estimate based on a held-out corpus of 500 documents with 125353 words 2019-03-07 19:43:10,786 : INFO : PROGRESS: pass 19, at document #500/3701 2019-03-07 19:43:11,103 : INFO : optimized alpha [0.43112826, 0.11486227, 0.36874473, 0.31973374, 0.23333973] 2019-03-07 19:43:11,104 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:43:11,110 : INFO : topic #0 (0.431): 0.012*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"problem_solving" + 0.004*"advanced_analytics" + 0.003*"team_member" + 0.003*"best_practice" + 0.003*"cross_functional" 2019-03-07 19:43:11,111 : INFO : topic #1 (0.115): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"appropriate" 2019-03-07 19:43:11,112 : INFO : topic #2 (0.369): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"apache_spark" + 0.005*"cutting_edge" + 0.004*"speech_recognition" + 0.004*"software_development" + 0.004*"next_generation" + 0.004*"neural_network" 2019-03-07 19:43:11,114 : INFO : topic #3 (0.320): 0.006*"health" + 0.005*"full_time" + 0.004*"neural_network" + 0.004*"student" + 0.004*"medical" + 0.004*"university" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"please" + 0.003*"more_than" 2019-03-07 19:43:11,116 : INFO : topic #4 (0.233): 0.010*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"apache" + 0.004*"real_time" + 0.004*"integration" + 0.003*"agile" + 0.003*"bachelor_degree" + 0.003*"high_performance" + 0.003*"control" 2019-03-07 19:43:11,117 : INFO : topic diff=0.089815, rho=0.191033 2019-03-07 19:43:11,921 : INFO : -8.230 per-word bound, 300.2 perplexity estimate based on a held-out corpus of 500 documents with 155674 words 2019-03-07 19:43:11,922 : INFO : PROGRESS: pass 19, at document #1000/3701 2019-03-07 19:43:12,413 : INFO : optimized alpha [0.45413807, 0.11666836, 0.33711147, 0.3317817, 0.24281758] 2019-03-07 19:43:12,414 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:43:12,423 : INFO : topic #0 (0.454): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"mining" + 0.004*"problem_solving" + 0.003*"neural_network" + 0.003*"predictive" + 0.003*"cross_functional" 2019-03-07 19:43:12,425 : INFO : topic #1 (0.117): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:43:12,427 : INFO : topic #2 (0.337): 0.008*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.005*"cutting_edge" + 0.005*"apache_spark" + 0.004*"software_development" + 0.004*"speech_recognition" + 0.004*"next_generation" + 0.004*"neural_network" 2019-03-07 19:43:12,429 : INFO : topic #3 (0.332): 0.006*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"university" + 0.004*"student" + 0.004*"clinical" + 0.003*"neural_network" + 0.003*"please" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:43:12,432 : INFO : topic #4 (0.243): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"pattern_recognition" + 0.005*"real_time" + 0.004*"signal_processing" + 0.004*"integration" + 0.004*"apache" + 0.003*"bachelor_degree" + 0.003*"control" 2019-03-07 19:43:12,433 : INFO : topic diff=0.112602, rho=0.191033 2019-03-07 19:43:13,212 : INFO : -8.325 per-word bound, 320.7 perplexity estimate based on a held-out corpus of 500 documents with 118127 words 2019-03-07 19:43:13,213 : INFO : PROGRESS: pass 19, at document #1500/3701 2019-03-07 19:43:13,581 : INFO : optimized alpha [0.47659692, 0.11550352, 0.36503094, 0.3498196, 0.2414697] 2019-03-07 19:43:13,582 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:43:13,588 : INFO : topic #0 (0.477): 0.012*"data_scientist" + 0.006*"data_set" + 0.006*"data_mining" + 0.004*"this_role" + 0.004*"problem_solving" + 0.004*"mining" + 0.004*"advanced_analytics" + 0.003*"predictive" + 0.003*"cross_functional" + 0.003*"best_practice" 2019-03-07 19:43:13,590 : INFO : topic #1 (0.116): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.003*"essential" + 0.003*"high_school" + 0.003*"appropriate" + 0.003*"must_able" 2019-03-07 19:43:13,591 : INFO : topic #2 (0.365): 0.007*"computer_vision" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.004*"next_generation" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"apache_spark" + 0.004*"world_class" 2019-03-07 19:43:13,593 : INFO : topic #3 (0.350): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"please" + 0.004*"student" + 0.004*"university" + 0.003*"internship" + 0.003*"more_than" + 0.003*"clinical" + 0.003*"healthcare" 2019-03-07 19:43:13,595 : INFO : topic #4 (0.241): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"real_time" + 0.005*"pattern_recognition" + 0.005*"signal_processing" + 0.004*"integration" + 0.003*"high_performance" + 0.003*"apache" + 0.003*"bachelor_degree" 2019-03-07 19:43:13,596 : INFO : topic diff=0.081622, rho=0.191033 2019-03-07 19:43:14,413 : INFO : -8.348 per-word bound, 325.8 perplexity estimate based on a held-out corpus of 500 documents with 141747 words 2019-03-07 19:43:14,414 : INFO : PROGRESS: pass 19, at document #2000/3701 2019-03-07 19:43:14,964 : INFO : optimized alpha [0.5176959, 0.11698542, 0.38456047, 0.36008462, 0.26103213] 2019-03-07 19:43:14,966 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:43:14,975 : INFO : topic #0 (0.518): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"best_practice" + 0.003*"mining" + 0.003*"text_analytics" + 0.003*"bachelor_degree" 2019-03-07 19:43:14,976 : INFO : topic #1 (0.117): 0.005*"essential_function" + 0.005*"others" + 0.005*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"procedure" + 0.004*"essential" + 0.003*"high_school" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:43:14,978 : INFO : topic #2 (0.385): 0.008*"apache_spark" + 0.006*"large_scale" + 0.006*"computer_vision" + 0.006*"artificial_intelligence" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.004*"passionate_about" + 0.004*"software_development" + 0.004*"next_generation" + 0.003*"world_class" 2019-03-07 19:43:14,980 : INFO : topic #3 (0.360): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"university" + 0.003*"internship" + 0.003*"please" + 0.003*"student" + 0.003*"healthcare" + 0.003*"clinical" 2019-03-07 19:43:14,982 : INFO : topic #4 (0.261): 0.009*"software_development" + 0.007*"security" + 0.006*"familiarity_with" + 0.006*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"signal_processing" + 0.004*"pattern_recognition" + 0.003*"bachelor_degree" + 0.003*"agile" 2019-03-07 19:43:14,984 : INFO : topic diff=0.086319, rho=0.191033 2019-03-07 19:43:16,073 : INFO : -8.210 per-word bound, 296.1 perplexity estimate based on a held-out corpus of 500 documents with 154558 words 2019-03-07 19:43:16,074 : INFO : PROGRESS: pass 19, at document #2500/3701 2019-03-07 19:43:16,499 : INFO : optimized alpha [0.51407796, 0.11749572, 0.39644596, 0.34668386, 0.2809724] 2019-03-07 19:43:16,500 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:43:16,507 : INFO : topic #0 (0.514): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"best_practice" + 0.003*"problem_solving" + 0.003*"least_year" + 0.003*"bachelor_degree" + 0.003*"team_member" 2019-03-07 19:43:16,508 : INFO : topic #1 (0.117): 0.005*"essential_function" + 0.005*"others" + 0.004*"policy_procedure" + 0.004*"equipment" + 0.004*"duty" + 0.004*"high_school" + 0.003*"essential" + 0.003*"procedure" + 0.003*"must_able" + 0.003*"appropriate" 2019-03-07 19:43:16,509 : INFO : topic #2 (0.396): 0.012*"apache_spark" + 0.007*"large_scale" + 0.006*"software_engineer" + 0.005*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"cutting_edge" + 0.004*"software_development" + 0.004*"passionate_about" + 0.004*"next_generation" + 0.004*"amazon" 2019-03-07 19:43:16,512 : INFO : topic #3 (0.347): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"more_than" + 0.003*"university" + 0.003*"please" + 0.003*"internship" + 0.003*"healthcare" + 0.003*"student" + 0.003*"clinical" 2019-03-07 19:43:16,515 : INFO : topic #4 (0.281): 0.010*"software_development" + 0.009*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"open_source" + 0.004*"agile" + 0.004*"hadoop" + 0.004*"bachelor_degree" 2019-03-07 19:43:16,516 : INFO : topic diff=0.110914, rho=0.191033 2019-03-07 19:43:17,945 : INFO : -8.037 per-word bound, 262.7 perplexity estimate based on a held-out corpus of 500 documents with 214331 words 2019-03-07 19:43:17,946 : INFO : PROGRESS: pass 19, at document #3000/3701 2019-03-07 19:43:18,390 : INFO : optimized alpha [0.42439407, 0.12669517, 0.35212982, 0.30383277, 0.24946317] 2019-03-07 19:43:18,391 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:43:18,399 : INFO : topic #0 (0.424): 0.010*"data_scientist" + 0.005*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"best_practice" + 0.004*"bachelor_degree" + 0.004*"least_year" + 0.003*"problem_solving" + 0.003*"advanced_analytics" + 0.003*"cross_functional" 2019-03-07 19:43:18,400 : INFO : topic #1 (0.127): 0.005*"others" + 0.005*"essential_function" + 0.004*"equipment" + 0.003*"duty" + 0.003*"policy_procedure" + 0.003*"rule" + 0.003*"high_school" + 0.003*"essential" + 0.003*"appropriate" + 0.003*"procedure" 2019-03-07 19:43:18,402 : INFO : topic #2 (0.352): 0.010*"apache_spark" + 0.007*"speech_recognition" + 0.006*"large_scale" + 0.006*"software_engineer" + 0.006*"artificial_intelligence" + 0.005*"computer_vision" + 0.005*"software_development" + 0.004*"cutting_edge" + 0.004*"amazon" + 0.004*"passionate_about" 2019-03-07 19:43:18,404 : INFO : topic #3 (0.304): 0.006*"health" + 0.005*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"more_than" + 0.003*"please" + 0.003*"healthcare" + 0.003*"university" + 0.003*"patient" + 0.003*"clinical" 2019-03-07 19:43:18,406 : INFO : topic #4 (0.249): 0.010*"software_development" + 0.008*"apache" + 0.007*"security" + 0.005*"familiarity_with" + 0.005*"integration" + 0.005*"real_time" + 0.004*"agile" + 0.004*"open_source" + 0.004*"bachelor_degree" + 0.003*"hadoop" 2019-03-07 19:43:18,408 : INFO : topic diff=0.192616, rho=0.191033 2019-03-07 19:43:19,277 : INFO : -8.269 per-word bound, 308.4 perplexity estimate based on a held-out corpus of 500 documents with 144175 words 2019-03-07 19:43:19,277 : INFO : PROGRESS: pass 19, at document #3500/3701 2019-03-07 19:43:19,632 : INFO : optimized alpha [0.43556416, 0.12606516, 0.35541525, 0.3172942, 0.25124136] 2019-03-07 19:43:19,632 : INFO : merging changes from 500 documents into a model of 3701 documents 2019-03-07 19:43:19,639 : INFO : topic #0 (0.436): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.004*"this_role" + 0.004*"neural_network" + 0.004*"bachelor_degree" + 0.003*"problem_solving" + 0.003*"best_practice" + 0.003*"advanced_analytics" + 0.003*"least_year" 2019-03-07 19:43:19,640 : INFO : topic #1 (0.126): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"appropriate" 2019-03-07 19:43:19,642 : INFO : topic #2 (0.355): 0.008*"apache_spark" + 0.007*"computer_vision" + 0.006*"large_scale" + 0.006*"artificial_intelligence" + 0.006*"speech_recognition" + 0.006*"software_engineer" + 0.005*"software_development" + 0.005*"cutting_edge" + 0.004*"amazon" + 0.004*"passionate_about" 2019-03-07 19:43:19,643 : INFO : topic #3 (0.317): 0.006*"health" + 0.004*"full_time" + 0.004*"medical" + 0.004*"student" + 0.004*"neural_network" + 0.003*"university" + 0.003*"please" + 0.003*"healthcare" + 0.003*"clinical" + 0.003*"more_than" 2019-03-07 19:43:19,645 : INFO : topic #4 (0.251): 0.011*"software_development" + 0.007*"apache" + 0.007*"security" + 0.006*"familiarity_with" + 0.005*"real_time" + 0.005*"integration" + 0.004*"agile" + 0.004*"bachelor_degree" + 0.004*"open_source" + 0.003*"software_engineer" 2019-03-07 19:43:19,647 : INFO : topic diff=0.085592, rho=0.191033 2019-03-07 19:43:19,977 : INFO : -8.179 per-word bound, 289.8 perplexity estimate based on a held-out corpus of 201 documents with 53002 words 2019-03-07 19:43:19,978 : INFO : PROGRESS: pass 19, at document #3701/3701 2019-03-07 19:43:20,127 : INFO : optimized alpha [0.4226051, 0.12173681, 0.3573714, 0.31861642, 0.24824207] 2019-03-07 19:43:20,128 : INFO : merging changes from 201 documents into a model of 3701 documents 2019-03-07 19:43:20,134 : INFO : topic #0 (0.423): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.005*"neural_network" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"team_member" + 0.003*"bachelor_degree" + 0.003*"best_practice" 2019-03-07 19:43:20,136 : INFO : topic #1 (0.122): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"appropriate" 2019-03-07 19:43:20,138 : INFO : topic #2 (0.357): 0.008*"computer_vision" + 0.007*"apache_spark" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.005*"speech_recognition" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.004*"software_development" + 0.004*"next_generation" 2019-03-07 19:43:20,140 : INFO : topic #3 (0.319): 0.005*"health" + 0.005*"neural_network" + 0.004*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:43:20,142 : INFO : topic #4 (0.248): 0.010*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.006*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"bachelor_degree" + 0.003*"agile" + 0.003*"high_performance" + 0.003*"control" 2019-03-07 19:43:20,143 : INFO : topic diff=0.092089, rho=0.191033
In [70]:
# Print the Keyword in the 5 topics
print(lda_model.print_topics())
2019-03-07 19:43:20,171 : INFO : topic #0 (0.423): 0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.005*"neural_network" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"team_member" + 0.003*"bachelor_degree" + 0.003*"best_practice" 2019-03-07 19:43:20,174 : INFO : topic #1 (0.122): 0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"appropriate" 2019-03-07 19:43:20,243 : INFO : topic #2 (0.357): 0.008*"computer_vision" + 0.007*"apache_spark" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.005*"speech_recognition" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.004*"software_development" + 0.004*"next_generation" 2019-03-07 19:43:20,267 : INFO : topic #3 (0.319): 0.005*"health" + 0.005*"neural_network" + 0.004*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"healthcare" + 0.003*"more_than" 2019-03-07 19:43:20,273 : INFO : topic #4 (0.248): 0.010*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.006*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"bachelor_degree" + 0.003*"agile" + 0.003*"high_performance" + 0.003*"control"
[(0, '0.011*"data_scientist" + 0.006*"data_set" + 0.005*"data_mining" + 0.005*"neural_network" + 0.004*"this_role" + 0.004*"advanced_analytics" + 0.004*"problem_solving" + 0.003*"team_member" + 0.003*"bachelor_degree" + 0.003*"best_practice"'), (1, '0.005*"essential_function" + 0.005*"others" + 0.004*"equipment" + 0.004*"policy_procedure" + 0.003*"duty" + 0.003*"essential" + 0.003*"procedure" + 0.003*"high_school" + 0.003*"rule" + 0.003*"appropriate"'), (2, '0.008*"computer_vision" + 0.007*"apache_spark" + 0.007*"artificial_intelligence" + 0.006*"large_scale" + 0.005*"speech_recognition" + 0.005*"software_engineer" + 0.005*"cutting_edge" + 0.005*"neural_network" + 0.004*"software_development" + 0.004*"next_generation"'), (3, '0.005*"health" + 0.005*"neural_network" + 0.004*"full_time" + 0.004*"medical" + 0.004*"student" + 0.003*"university" + 0.003*"please" + 0.003*"clinical" + 0.003*"healthcare" + 0.003*"more_than"'), (4, '0.010*"software_development" + 0.006*"security" + 0.006*"familiarity_with" + 0.006*"apache" + 0.005*"real_time" + 0.004*"integration" + 0.004*"bachelor_degree" + 0.003*"agile" + 0.003*"high_performance" + 0.003*"control"')]
In [71]:
# Compute Coherence Score using c_v
coherence_model_lda = CoherenceModel(model=lda_model, texts=docs, dictionary=dictionary, coherence='c_v')
coherence_lda = coherence_model_lda.get_coherence()
print('\nCoherence Score: ', coherence_lda)
2019-03-07 19:43:20,293 : INFO : using ParallelWordOccurrenceAccumulator(processes=3, batch_size=64) to estimate probabilities from sliding windows 2019-03-07 19:43:20,360 : INFO : 1 batches submitted to accumulate stats from 64 documents (18334 virtual) 2019-03-07 19:43:20,392 : INFO : 2 batches submitted to accumulate stats from 128 documents (41389 virtual) 2019-03-07 19:43:20,490 : INFO : 3 batches submitted to accumulate stats from 192 documents (63592 virtual) 2019-03-07 19:43:20,608 : INFO : 4 batches submitted to accumulate stats from 256 documents (84657 virtual) 2019-03-07 19:43:20,638 : INFO : 5 batches submitted to accumulate stats from 320 documents (108307 virtual) 2019-03-07 19:43:20,676 : INFO : 6 batches submitted to accumulate stats from 384 documents (130069 virtual) 2019-03-07 19:43:21,131 : INFO : 7 batches submitted to accumulate stats from 448 documents (153635 virtual) 2019-03-07 19:43:21,293 : INFO : 8 batches submitted to accumulate stats from 512 documents (176873 virtual) 2019-03-07 19:43:21,398 : INFO : 9 batches submitted to accumulate stats from 576 documents (204462 virtual) 2019-03-07 19:43:21,986 : INFO : 10 batches submitted to accumulate stats from 640 documents (235850 virtual) 2019-03-07 19:43:22,205 : INFO : 11 batches submitted to accumulate stats from 704 documents (266944 virtual) 2019-03-07 19:43:22,258 : INFO : 12 batches submitted to accumulate stats from 768 documents (290894 virtual) 2019-03-07 19:43:22,800 : INFO : 13 batches submitted to accumulate stats from 832 documents (317877 virtual) 2019-03-07 19:43:22,956 : INFO : 14 batches submitted to accumulate stats from 896 documents (345254 virtual) 2019-03-07 19:43:23,160 : INFO : 15 batches submitted to accumulate stats from 960 documents (374478 virtual) 2019-03-07 19:43:23,826 : INFO : 16 batches submitted to accumulate stats from 1024 documents (404355 virtual) 2019-03-07 19:43:23,924 : INFO : 17 batches submitted to accumulate stats from 1088 documents (423537 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(1136903 virtual) 2019-03-07 19:43:33,338 : INFO : 45 batches submitted to accumulate stats from 2880 documents (1173313 virtual) 2019-03-07 19:43:33,899 : INFO : 46 batches submitted to accumulate stats from 2944 documents (1214251 virtual) 2019-03-07 19:43:34,435 : INFO : 47 batches submitted to accumulate stats from 3008 documents (1252389 virtual) 2019-03-07 19:43:34,621 : INFO : 48 batches submitted to accumulate stats from 3072 documents (1285537 virtual) 2019-03-07 19:43:34,960 : INFO : 49 batches submitted to accumulate stats from 3136 documents (1314225 virtual) 2019-03-07 19:43:35,392 : INFO : 50 batches submitted to accumulate stats from 3200 documents (1345798 virtual) 2019-03-07 19:43:35,658 : INFO : 51 batches submitted to accumulate stats from 3264 documents (1364532 virtual) 2019-03-07 19:43:36,128 : INFO : 52 batches submitted to accumulate stats from 3328 documents (1383966 virtual) 2019-03-07 19:43:36,524 : INFO : 53 batches submitted to accumulate stats from 3392 documents (1408175 virtual) 2019-03-07 19:43:36,648 : INFO : 54 batches submitted to accumulate stats from 3456 documents (1430484 virtual) 2019-03-07 19:43:36,990 : INFO : 55 batches submitted to accumulate stats from 3520 documents (1454061 virtual) 2019-03-07 19:43:37,224 : INFO : 56 batches submitted to accumulate stats from 3584 documents (1478814 virtual) 2019-03-07 19:43:37,446 : INFO : 57 batches submitted to accumulate stats from 3648 documents (1498834 virtual) 2019-03-07 19:43:37,550 : INFO : 58 batches submitted to accumulate stats from 3712 documents (1518164 virtual) 2019-03-07 19:43:38,714 : INFO : serializing accumulator to return to master... 2019-03-07 19:43:38,741 : INFO : serializing accumulator to return to master... 2019-03-07 19:43:38,732 : INFO : accumulator serialized 2019-03-07 19:43:38,755 : INFO : accumulator serialized 2019-03-07 19:43:38,928 : INFO : serializing accumulator to return to master... 2019-03-07 19:43:38,939 : INFO : accumulator serialized 2019-03-07 19:43:39,005 : INFO : 3 accumulators retrieved from output queue 2019-03-07 19:43:39,041 : INFO : accumulated word occurrence stats for 1519716 virtual documents
Coherence Score: 0.460118446490573
In [72]:
# Compute Coherence Score using UMass
coherence_model_lda = CoherenceModel(model=lda_model, texts=docs, dictionary=dictionary, coherence="u_mass")
coherence_lda = coherence_model_lda.get_coherence()
print('\nCoherence Score: ', coherence_lda)
2019-03-07 19:43:40,945 : INFO : CorpusAccumulator accumulated stats from 1000 documents 2019-03-07 19:43:40,980 : INFO : CorpusAccumulator accumulated stats from 2000 documents 2019-03-07 19:43:41,024 : INFO : CorpusAccumulator accumulated stats from 3000 documents
Coherence Score: -1.7536661537813951
In [73]:
def compute_coherence_values(dictionary, corpus, texts, limit, start=2, step=3):
"""
Compute c_v coherence for various number of topics
Parameters:
----------
dictionary : Gensim dictionary
corpus : Gensim corpus
texts : List of input texts
limit : Max num of topics
Returns:
-------
model_list : List of LDA topic models
coherence_values : Coherence values corresponding to the LDA model with respective number of topics
"""
coherence_values = []
model_list = []
for num_topics in range(start, limit, step):
model=LdaModel(corpus=corpus, id2word=dictionary, num_topics=num_topics)
model_list.append(model)
coherencemodel = CoherenceModel(model=model, texts=texts, dictionary=dictionary, coherence='c_v')
coherence_values.append(coherencemodel.get_coherence())
return model_list, coherence_values
model_list, coherence_values = compute_coherence_values(dictionary=dictionary, corpus=corpus, texts=docs, start=2, limit=40, step=6)
2019-03-07 19:43:41,080 : INFO : using symmetric alpha at 0.5 2019-03-07 19:43:41,102 : INFO : using symmetric eta at 0.5 2019-03-07 19:43:41,118 : INFO : using serial LDA version on this node 2019-03-07 19:43:41,123 : INFO : running online (single-pass) LDA training, 2 topics, 1 passes over the supplied corpus of 3701 documents, updating model once every 2000 documents, evaluating perplexity every 3701 documents, iterating 50x with a convergence threshold of 0.001000 2019-03-07 19:43:41,123 : WARNING : too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy 2019-03-07 19:43:41,128 : INFO : PROGRESS: pass 0, at document #2000/3701 2019-03-07 19:43:43,641 : INFO : merging changes from 2000 documents into a model of 3701 documents 2019-03-07 19:43:43,647 : INFO : topic #0 (0.500): 0.003*"data_scientist" + 0.002*"communication_skill" + 0.002*"data_set" + 0.002*"software_development" + 0.002*"large_scale" + 0.002*"artificial_intelligence" + 0.002*"familiarity_with" + 0.002*"data_mining" + 0.002*"problem_solving" + 0.002*"best_practice" 2019-03-07 19:43:43,650 : INFO : topic #1 (0.500): 0.005*"data_scientist" + 0.003*"this_role" + 0.003*"collaborate_with" + 0.003*"familiarity_with" + 0.002*"data_mining" + 0.002*"large_scale" + 0.002*"artificial_intelligence" + 0.002*"problem_solving" + 0.002*"pattern_recognition" + 0.002*"data_set" 2019-03-07 19:43:43,652 : INFO : topic diff=1.412406, rho=1.000000 2019-03-07 19:43:47,728 : INFO : -9.203 per-word bound, 589.5 perplexity estimate based on a held-out corpus of 1701 documents with 566066 words 2019-03-07 19:43:47,729 : INFO : PROGRESS: pass 0, at document #3701/3701 2019-03-07 19:43:49,633 : INFO : merging changes from 1701 documents into a model of 3701 documents 2019-03-07 19:43:49,636 : INFO : topic #0 (0.500): 0.003*"neural_network" + 0.003*"software_development" + 0.002*"speech_recognition" + 0.002*"communication_skill" + 0.002*"large_scale" + 0.002*"familiarity_with" + 0.002*"data_scientist" + 0.002*"best_practice" + 0.002*"artificial_intelligence" + 0.002*"team_member" 2019-03-07 19:43:49,638 : INFO : topic #1 (0.500): 0.004*"data_scientist" + 0.003*"this_role" + 0.002*"collaborate_with" + 0.002*"familiarity_with" + 0.002*"software_development" + 0.002*"computer_vision" + 0.002*"artificial_intelligence" + 0.002*"speech_recognition" + 0.002*"large_scale" + 0.002*"essential_function" 2019-03-07 19:43:49,640 : INFO : topic diff=0.923928, rho=0.707107 2019-03-07 19:43:49,645 : INFO : using ParallelWordOccurrenceAccumulator(processes=3, batch_size=64) to estimate probabilities from sliding windows 2019-03-07 19:43:49,709 : INFO : 1 batches submitted to accumulate stats from 64 documents (18381 virtual) 2019-03-07 19:43:49,741 : INFO : 2 batches submitted to accumulate stats from 128 documents (42209 virtual) 2019-03-07 19:43:49,766 : INFO : 3 batches submitted to accumulate stats from 192 documents (64492 virtual) 2019-03-07 19:43:49,790 : INFO : 4 batches submitted to accumulate stats from 256 documents (85903 virtual) 2019-03-07 19:43:49,815 : INFO : 5 batches submitted to accumulate stats from 320 documents (109811 virtual) 2019-03-07 19:43:49,848 : INFO : 6 batches submitted to accumulate stats from 384 documents (132253 virtual) 2019-03-07 19:43:50,081 : INFO : 7 batches submitted to accumulate stats from 448 documents (158250 virtual) 2019-03-07 19:43:50,148 : INFO : 8 batches submitted to accumulate stats from 512 documents (182825 virtual) 2019-03-07 19:43:50,171 : INFO : 9 batches submitted to accumulate stats from 576 documents (212935 virtual) 2019-03-07 19:43:50,462 : INFO : 10 batches submitted to accumulate stats from 640 documents (247639 virtual) 2019-03-07 19:43:50,571 : INFO : 11 batches submitted to accumulate stats from 704 documents (272076 virtual) 2019-03-07 19:43:50,598 : INFO : 12 batches submitted to accumulate stats from 768 documents (300717 virtual) 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virtual) 2019-03-07 19:43:57,901 : INFO : 49 batches submitted to accumulate stats from 3136 documents (1340260 virtual) 2019-03-07 19:43:58,235 : INFO : 50 batches submitted to accumulate stats from 3200 documents (1357328 virtual) 2019-03-07 19:43:58,598 : INFO : 51 batches submitted to accumulate stats from 3264 documents (1381484 virtual) 2019-03-07 19:43:58,708 : INFO : 52 batches submitted to accumulate stats from 3328 documents (1404025 virtual) 2019-03-07 19:43:58,947 : INFO : 53 batches submitted to accumulate stats from 3392 documents (1427417 virtual) 2019-03-07 19:43:59,249 : INFO : 54 batches submitted to accumulate stats from 3456 documents (1451375 virtual) 2019-03-07 19:43:59,294 : INFO : 55 batches submitted to accumulate stats from 3520 documents (1473489 virtual) 2019-03-07 19:43:59,384 : INFO : 56 batches submitted to accumulate stats from 3584 documents (1497858 virtual) 2019-03-07 19:44:00,192 : INFO : serializing accumulator to return to master... 2019-03-07 19:44:00,205 : INFO : serializing accumulator to return to master... 2019-03-07 19:44:00,204 : INFO : accumulator serialized 2019-03-07 19:44:00,226 : INFO : accumulator serialized 2019-03-07 19:44:00,328 : INFO : serializing accumulator to return to master... 2019-03-07 19:44:00,340 : INFO : accumulator serialized 2019-03-07 19:44:00,372 : INFO : 3 accumulators retrieved from output queue 2019-03-07 19:44:00,389 : INFO : accumulated word occurrence stats for 1498951 virtual documents 2019-03-07 19:44:00,521 : INFO : using symmetric alpha at 0.125 2019-03-07 19:44:00,522 : INFO : using symmetric eta at 0.125 2019-03-07 19:44:00,525 : INFO : using serial LDA version on this node 2019-03-07 19:44:00,536 : INFO : running online (single-pass) LDA training, 8 topics, 1 passes over the supplied corpus of 3701 documents, updating model once every 2000 documents, evaluating perplexity every 3701 documents, iterating 50x with a convergence threshold of 0.001000 2019-03-07 19:44:00,536 : WARNING : too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy 2019-03-07 19:44:00,541 : INFO : PROGRESS: pass 0, at document #2000/3701 2019-03-07 19:44:02,790 : INFO : merging changes from 2000 documents into a model of 3701 documents 2019-03-07 19:44:02,798 : INFO : topic #6 (0.125): 0.006*"data_scientist" + 0.003*"problem_solving" + 0.003*"this_role" + 0.003*"team_member" + 0.002*"software_development" + 0.002*"large_scale" + 0.002*"familiarity_with" + 0.002*"bachelor_degree" + 0.002*"best_practice" + 0.002*"more_than" 2019-03-07 19:44:02,800 : INFO : topic #3 (0.125): 0.004*"team_member" + 0.004*"data_scientist" + 0.003*"data_set" + 0.002*"apache_spark" + 0.002*"software_engineer" + 0.002*"pattern_recognition" + 0.002*"this_role" + 0.002*"software_development" + 0.002*"problem_solving" + 0.002*"data_collection" 2019-03-07 19:44:02,801 : INFO : topic #5 (0.125): 0.003*"familiarity_with" + 0.003*"artificial_intelligence" + 0.003*"data_scientist" + 0.003*"collaborate_with" + 0.003*"communication_skill" + 0.003*"passionate_about" + 0.003*"cross_functional" + 0.003*"problem_solving" + 0.002*"cutting_edge" + 0.002*"data_set" 2019-03-07 19:44:02,802 : INFO : topic #2 (0.125): 0.005*"data_scientist" + 0.003*"software_development" + 0.003*"data_set" + 0.003*"team_member" + 0.003*"this_role" + 0.003*"collaborate_with" + 0.003*"large_scale" + 0.002*"artificial_intelligence" + 0.002*"cutting_edge" + 0.002*"best_practice" 2019-03-07 19:44:02,804 : INFO : topic #4 (0.125): 0.005*"data_scientist" + 0.004*"artificial_intelligence" + 0.003*"familiarity_with" + 0.003*"large_scale" + 0.003*"more_than" + 0.003*"cutting_edge" + 0.003*"communication_skill" + 0.003*"software_engineer" + 0.003*"collaborate_with" + 0.003*"programming_language" 2019-03-07 19:44:02,805 : INFO : topic diff=2.057839, rho=1.000000 2019-03-07 19:44:07,010 : INFO : -9.748 per-word bound, 859.8 perplexity estimate based on a held-out corpus of 1701 documents with 566066 words 2019-03-07 19:44:07,011 : INFO : PROGRESS: pass 0, at document #3701/3701 2019-03-07 19:44:08,912 : INFO : merging changes from 1701 documents into a model of 3701 documents 2019-03-07 19:44:08,920 : INFO : topic #6 (0.125): 0.004*"data_scientist" + 0.003*"neural_network" + 0.003*"software_development" + 0.003*"computer_vision" + 0.002*"speech_recognition" + 0.002*"team_member" + 0.002*"this_role" + 0.002*"problem_solving" + 0.002*"large_scale" + 0.002*"familiarity_with" 2019-03-07 19:44:08,921 : INFO : topic #3 (0.125): 0.004*"apache_spark" + 0.003*"team_member" + 0.002*"others" + 0.002*"must_have" + 0.002*"understand_speech" + 0.002*"software_development" + 0.002*"apache" + 0.002*"software_engineer" + 0.002*"least_year" + 0.002*"equipment" 2019-03-07 19:44:08,923 : INFO : topic #7 (0.125): 0.002*"others" + 0.002*"related_document" + 0.002*"essential_function" + 0.002*"marketing" + 0.002*"policy_procedure" + 0.002*"sale" + 0.002*"must_able" + 0.002*"staff" + 0.002*"writing" + 0.002*"equipment" 2019-03-07 19:44:08,925 : INFO : topic #0 (0.125): 0.005*"least_year" + 0.004*"data_scientist" + 0.004*"familiarity_with" + 0.003*"this_role" + 0.003*"open_source" + 0.002*"united_state" + 0.002*"data_mining" + 0.002*"preferred_qualification" + 0.002*"least" + 0.002*"capital" 2019-03-07 19:44:08,926 : INFO : topic #1 (0.125): 0.003*"guest_service" + 0.003*"data_set" + 0.003*"neural_network" + 0.002*"data_mining" + 0.002*"others" + 0.002*"data_scientist" + 0.002*"equipment" + 0.002*"problem_solving" + 0.002*"essential_function" + 0.002*"least_year" 2019-03-07 19:44:08,928 : INFO : topic diff=1.487957, rho=0.707107 2019-03-07 19:44:08,933 : INFO : using ParallelWordOccurrenceAccumulator(processes=3, batch_size=64) to estimate probabilities from sliding windows 2019-03-07 19:44:08,983 : INFO : 1 batches submitted to accumulate stats from 64 documents (18334 virtual) 2019-03-07 19:44:09,009 : INFO : 2 batches submitted to accumulate stats from 128 documents (41389 virtual) 2019-03-07 19:44:09,033 : INFO : 3 batches submitted to accumulate stats from 192 documents (63592 virtual) 2019-03-07 19:44:09,056 : INFO : 4 batches submitted to accumulate stats from 256 documents (84657 virtual) 2019-03-07 19:44:09,080 : INFO : 5 batches submitted to accumulate stats from 320 documents (108307 virtual) 2019-03-07 19:44:09,104 : INFO : 6 batches submitted to accumulate stats from 384 documents (130069 virtual) 2019-03-07 19:44:09,525 : INFO : 7 batches submitted to accumulate stats from 448 documents (153635 virtual) 2019-03-07 19:44:09,661 : INFO : 8 batches submitted to accumulate stats from 512 documents (177582 virtual) 2019-03-07 19:44:09,691 : INFO : 9 batches submitted to accumulate stats from 576 documents (205179 virtual) 2019-03-07 19:44:10,135 : INFO : 10 batches submitted to accumulate stats from 640 documents (236590 virtual) 2019-03-07 19:44:10,387 : INFO : 11 batches submitted to accumulate stats from 704 documents (267459 virtual) 2019-03-07 19:44:10,457 : INFO : 12 batches submitted to accumulate stats from 768 documents (292287 virtual) 2019-03-07 19:44:11,574 : INFO : 13 batches submitted to accumulate stats from 832 documents (318351 virtual) 2019-03-07 19:44:11,967 : INFO : 14 batches submitted to accumulate stats from 896 documents (346352 virtual) 2019-03-07 19:44:12,361 : INFO : 15 batches submitted to accumulate stats from 960 documents (376040 virtual) 2019-03-07 19:44:13,277 : INFO : 16 batches submitted to accumulate stats from 1024 documents (404874 virtual) 2019-03-07 19:44:13,528 : INFO : 17 batches submitted to accumulate stats from 1088 documents (423991 virtual) 2019-03-07 19:44:13,546 : INFO : 18 batches submitted to accumulate stats from 1152 documents (442537 virtual) 2019-03-07 19:44:14,343 : INFO : 19 batches submitted to accumulate stats from 1216 documents (465083 virtual) 2019-03-07 19:44:14,738 : INFO : 20 batches submitted to accumulate stats from 1280 documents (486425 virtual) 2019-03-07 19:44:14,757 : INFO : 21 batches submitted to accumulate stats from 1344 documents (506487 virtual) 2019-03-07 19:44:15,348 : INFO : 22 batches submitted to accumulate stats from 1408 documents (530276 virtual) 2019-03-07 19:44:15,386 : INFO : 23 batches submitted to accumulate stats from 1472 documents (551755 virtual) 2019-03-07 19:44:15,412 : INFO : 24 batches submitted to accumulate stats from 1536 documents (572268 virtual) 2019-03-07 19:44:16,138 : INFO : 25 batches submitted to accumulate stats from 1600 documents (600175 virtual) 2019-03-07 19:44:16,177 : INFO : 26 batches submitted to accumulate stats from 1664 documents (634777 virtual) 2019-03-07 19:44:16,199 : INFO : 27 batches submitted to accumulate stats from 1728 documents (659028 virtual) 2019-03-07 19:44:16,939 : INFO : 28 batches submitted to accumulate stats from 1792 documents (680592 virtual) 2019-03-07 19:44:16,984 : INFO : 29 batches submitted to accumulate stats from 1856 documents (708531 virtual) 2019-03-07 19:44:17,064 : INFO : 30 batches submitted to accumulate stats from 1920 documents (731962 virtual) 2019-03-07 19:44:18,135 : INFO : 31 batches submitted to accumulate stats from 1984 documents (754933 virtual) 2019-03-07 19:44:18,160 : INFO : 32 batches submitted to accumulate stats from 2048 documents (777883 virtual) 2019-03-07 19:44:18,481 : INFO : 33 batches submitted to accumulate stats from 2112 documents (800359 virtual) 2019-03-07 19:44:18,931 : INFO : 34 batches submitted to accumulate stats from 2176 documents (826922 virtual) 2019-03-07 19:44:19,074 : INFO : 35 batches submitted to accumulate stats from 2240 documents (854965 virtual) 2019-03-07 19:44:19,269 : INFO : 36 batches submitted to accumulate stats from 2304 documents (884142 virtual) 2019-03-07 19:44:19,773 : INFO : 37 batches submitted to accumulate stats from 2368 documents (917285 virtual) 2019-03-07 19:44:20,002 : INFO : 38 batches submitted to accumulate stats from 2432 documents (942532 virtual) 2019-03-07 19:44:20,262 : INFO : 39 batches submitted to accumulate stats from 2496 documents (973106 virtual) 2019-03-07 19:44:20,811 : INFO : 40 batches submitted to accumulate stats from 2560 documents (1005293 virtual) 2019-03-07 19:44:21,066 : INFO : 41 batches submitted to accumulate stats from 2624 documents (1040779 virtual) 2019-03-07 19:44:21,301 : INFO : 42 batches submitted to accumulate stats from 2688 documents (1075639 virtual) 2019-03-07 19:44:22,247 : INFO : 43 batches submitted to accumulate stats from 2752 documents (1106750 virtual) 2019-03-07 19:44:22,391 : INFO : 44 batches submitted to accumulate stats from 2816 documents (1139237 virtual) 2019-03-07 19:44:22,986 : INFO : 45 batches submitted to accumulate stats from 2880 documents (1177264 virtual) 2019-03-07 19:44:23,869 : INFO : 46 batches submitted to accumulate stats from 2944 documents (1219108 virtual) 2019-03-07 19:44:24,192 : INFO : 47 batches submitted to accumulate stats from 3008 documents (1257166 virtual) 2019-03-07 19:44:24,501 : INFO : 48 batches submitted to accumulate stats from 3072 documents (1288221 virtual) 2019-03-07 19:44:25,070 : INFO : 49 batches submitted to accumulate stats from 3136 documents (1318033 virtual) 2019-03-07 19:44:25,654 : INFO : 50 batches submitted to accumulate stats from 3200 documents (1348857 virtual) 2019-03-07 19:44:26,710 : INFO : 51 batches submitted to accumulate stats from 3264 documents (1366586 virtual) 2019-03-07 19:44:27,527 : INFO : 52 batches submitted to accumulate stats from 3328 documents (1386484 virtual) 2019-03-07 19:44:27,688 : INFO : 53 batches submitted to accumulate stats from 3392 documents (1411144 virtual) 2019-03-07 19:44:27,938 : INFO : 54 batches submitted to accumulate stats from 3456 documents (1433206 virtual) 2019-03-07 19:44:28,424 : INFO : 55 batches submitted to accumulate stats from 3520 documents (1456648 virtual) 2019-03-07 19:44:28,554 : INFO : 56 batches submitted to accumulate stats from 3584 documents (1481306 virtual) 2019-03-07 19:44:28,688 : INFO : 57 batches submitted to accumulate stats from 3648 documents (1502303 virtual) 2019-03-07 19:44:29,337 : INFO : 58 batches submitted to accumulate stats from 3712 documents (1518000 virtual) 2019-03-07 19:44:30,616 : INFO : serializing accumulator to return to master... 2019-03-07 19:44:30,714 : INFO : serializing accumulator to return to master... 2019-03-07 19:44:30,632 : INFO : accumulator serialized 2019-03-07 19:44:30,733 : INFO : accumulator serialized 2019-03-07 19:44:30,999 : INFO : serializing accumulator to return to master... 2019-03-07 19:44:31,011 : INFO : accumulator serialized 2019-03-07 19:44:31,066 : INFO : 3 accumulators retrieved from output queue 2019-03-07 19:44:31,102 : INFO : accumulated word occurrence stats for 1519376 virtual documents 2019-03-07 19:44:31,582 : INFO : using symmetric alpha at 0.07142857142857142 2019-03-07 19:44:31,584 : INFO : using symmetric eta at 0.07142857142857142 2019-03-07 19:44:31,587 : INFO : using serial LDA version on this node 2019-03-07 19:44:31,606 : INFO : running online (single-pass) LDA training, 14 topics, 1 passes over the supplied corpus of 3701 documents, updating model once every 2000 documents, evaluating perplexity every 3701 documents, iterating 50x with a convergence threshold of 0.001000 2019-03-07 19:44:31,607 : WARNING : too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy 2019-03-07 19:44:31,612 : INFO : PROGRESS: pass 0, at document #2000/3701 2019-03-07 19:44:34,277 : INFO : merging changes from 2000 documents into a model of 3701 documents 2019-03-07 19:44:34,290 : INFO : topic #11 (0.071): 0.004*"familiarity_with" + 0.004*"software_engineer" + 0.003*"large_scale" + 0.002*"communication_skill" + 0.002*"data_scientist" + 0.002*"passionate_about" + 0.002*"artificial_intelligence" + 0.002*"problem_solving" + 0.002*"team_member" + 0.002*"collaborate_with" 2019-03-07 19:44:34,291 : INFO : topic #12 (0.071): 0.005*"familiarity_with" + 0.004*"data_scientist" + 0.003*"apache_spark" + 0.003*"large_scale" + 0.003*"this_role" + 0.003*"data_set" + 0.003*"team_member" + 0.002*"data_mining" + 0.002*"pattern_recognition" + 0.002*"collaborate_with" 2019-03-07 19:44:34,293 : INFO : topic #1 (0.071): 0.004*"data_scientist" + 0.003*"must_have" + 0.003*"data_set" + 0.003*"software_development" + 0.003*"data_mining" + 0.003*"advanced_analytics" + 0.002*"mining" + 0.002*"large_scale" + 0.002*"artificial_intelligence" + 0.002*"familiarity_with" 2019-03-07 19:44:34,295 : INFO : topic #10 (0.071): 0.005*"data_scientist" + 0.003*"computer_vision" + 0.003*"large_scale" + 0.003*"data_mining" + 0.003*"this_role" + 0.003*"software_development" + 0.003*"artificial_intelligence" + 0.003*"software_engineer" + 0.002*"programming_language" + 0.002*"problem_solving" 2019-03-07 19:44:34,297 : INFO : topic #9 (0.071): 0.003*"data_scientist" + 0.003*"financial" + 0.003*"least_year" + 0.003*"familiarity_with" + 0.003*"communication_skill" + 0.003*"team_member" + 0.002*"more_than" + 0.002*"health" + 0.002*"real_time" + 0.002*"problem_solving" 2019-03-07 19:44:34,298 : INFO : topic diff=2.864478, rho=1.000000 2019-03-07 19:44:38,172 : INFO : -10.330 per-word bound, 1287.4 perplexity estimate based on a held-out corpus of 1701 documents with 566066 words 2019-03-07 19:44:38,172 : INFO : PROGRESS: pass 0, at document #3701/3701 2019-03-07 19:44:40,303 : INFO : merging changes from 1701 documents into a model of 3701 documents 2019-03-07 19:44:40,315 : INFO : topic #1 (0.071): 0.004*"spoken_language" + 0.004*"must_have" + 0.004*"speech_recognition" + 0.004*"software_development" + 0.003*"neural_network" + 0.003*"large_scale" + 0.003*"data_scientist" + 0.003*"programming_language" + 0.002*"data_set" + 0.002*"mission_push" 2019-03-07 19:44:40,316 : INFO : topic #11 (0.071): 0.003*"software_engineer" + 0.003*"familiarity_with" + 0.003*"management_managing" + 0.002*"large_scale" + 0.002*"ability_tell" + 0.002*"others" + 0.002*"communication_skill" + 0.002*"passionate_about" + 0.002*"answer_that" + 0.002*"speech_recognition" 2019-03-07 19:44:40,317 : INFO : topic #10 (0.071): 0.008*"speech_recognition" + 0.006*"computer_vision" + 0.006*"software_development" + 0.004*"data_scientist" + 0.004*"software_engineer" + 0.004*"large_scale" + 0.004*"neural_network" + 0.003*"real_time" + 0.003*"this_role" + 0.003*"around_world" 2019-03-07 19:44:40,320 : INFO : topic #9 (0.071): 0.003*"others" + 0.003*"least_year" + 0.003*"related_document" + 0.002*"fast_paced" + 0.002*"financial" + 0.002*"speech_recognition" + 0.002*"equipment" + 0.002*"guest_service" + 0.002*"servicing" + 0.002*"team_member" 2019-03-07 19:44:40,321 : INFO : topic #0 (0.071): 0.005*"least_year" + 0.003*"apache_spark" + 0.003*"security" + 0.003*"understand_information" + 0.003*"apache" + 0.002*"open_source" + 0.002*"software_development" + 0.002*"essential_function" + 0.002*"equipment" + 0.002*"others" 2019-03-07 19:44:40,323 : INFO : topic diff=2.081679, rho=0.707107 2019-03-07 19:44:40,330 : INFO : using ParallelWordOccurrenceAccumulator(processes=3, batch_size=64) to estimate probabilities from sliding windows 2019-03-07 19:44:40,382 : INFO : 1 batches submitted to accumulate stats from 64 documents (18134 virtual) 2019-03-07 19:44:40,402 : INFO : 2 batches submitted to accumulate stats from 128 documents (40897 virtual) 2019-03-07 19:44:40,423 : INFO : 3 batches submitted to accumulate stats from 192 documents (62711 virtual) 2019-03-07 19:44:40,446 : INFO : 4 batches submitted to accumulate stats from 256 documents (83886 virtual) 2019-03-07 19:44:40,469 : INFO : 5 batches submitted to accumulate stats from 320 documents (107727 virtual) 2019-03-07 19:44:40,491 : INFO : 6 batches submitted to accumulate stats from 384 documents (129683 virtual) 2019-03-07 19:44:40,978 : INFO : 7 batches submitted to accumulate stats from 448 documents (152868 virtual) 2019-03-07 19:44:41,167 : INFO : 8 batches submitted to accumulate stats from 512 documents (176437 virtual) 2019-03-07 19:44:41,199 : INFO : 9 batches submitted to accumulate stats from 576 documents (203652 virtual) 2019-03-07 19:44:41,761 : INFO : 10 batches submitted to accumulate stats from 640 documents (234947 virtual) 2019-03-07 19:44:42,031 : INFO : 11 batches submitted to accumulate stats from 704 documents (266500 virtual) 2019-03-07 19:44:42,054 : INFO : 12 batches submitted to accumulate stats from 768 documents (290130 virtual) 2019-03-07 19:44:42,701 : INFO : 13 batches submitted to accumulate stats from 832 documents (316871 virtual) 2019-03-07 19:44:42,965 : INFO : 14 batches submitted to accumulate stats from 896 documents (344521 virtual) 2019-03-07 19:44:43,210 : INFO : 15 batches submitted to accumulate stats from 960 documents (374040 virtual) 2019-03-07 19:44:44,162 : INFO : 16 batches submitted to accumulate stats from 1024 documents (403962 virtual) 2019-03-07 19:44:44,324 : INFO : 17 batches submitted to accumulate stats from 1088 documents (423442 virtual) 2019-03-07 19:44:44,434 : INFO : 18 batches submitted to accumulate stats from 1152 documents (439912 virtual) 2019-03-07 19:44:45,222 : INFO : 19 batches submitted to accumulate stats from 1216 documents (463572 virtual) 2019-03-07 19:44:45,401 : INFO : 20 batches submitted to accumulate stats from 1280 documents (485455 virtual) 2019-03-07 19:44:45,561 : INFO : 21 batches submitted to accumulate stats from 1344 documents (505380 virtual) 2019-03-07 19:44:46,115 : INFO : 22 batches submitted to accumulate stats from 1408 documents (529084 virtual) 2019-03-07 19:44:46,192 : INFO : 23 batches submitted to accumulate stats from 1472 documents (550130 virtual) 2019-03-07 19:44:46,395 : INFO : 24 batches submitted to accumulate stats from 1536 documents (571873 virtual) 2019-03-07 19:44:46,981 : INFO : 25 batches submitted to accumulate stats from 1600 documents (596658 virtual) 2019-03-07 19:44:47,015 : INFO : 26 batches submitted to accumulate stats from 1664 documents (632046 virtual) 2019-03-07 19:44:47,136 : INFO : 27 batches submitted to accumulate stats from 1728 documents (657620 virtual) 2019-03-07 19:44:47,843 : INFO : 28 batches submitted to accumulate stats from 1792 documents (678534 virtual) 2019-03-07 19:44:47,901 : INFO : 29 batches submitted to accumulate stats from 1856 documents (705767 virtual) 2019-03-07 19:44:48,068 : INFO : 30 batches submitted to accumulate stats from 1920 documents (729514 virtual) 2019-03-07 19:44:48,751 : INFO : 31 batches submitted to accumulate stats from 1984 documents (751937 virtual) 2019-03-07 19:44:49,027 : INFO : 32 batches submitted to accumulate stats from 2048 documents (775386 virtual) 2019-03-07 19:44:49,195 : INFO : 33 batches submitted to accumulate stats from 2112 documents (797933 virtual) 2019-03-07 19:44:49,542 : INFO : 34 batches submitted to accumulate stats from 2176 documents (824476 virtual) 2019-03-07 19:44:50,095 : INFO : 35 batches submitted to accumulate stats from 2240 documents (852691 virtual) 2019-03-07 19:44:50,154 : INFO : 36 batches submitted to accumulate stats from 2304 documents (881031 virtual) 2019-03-07 19:44:50,473 : INFO : 37 batches submitted to accumulate stats from 2368 documents (912573 virtual) 2019-03-07 19:44:50,994 : INFO : 38 batches submitted to accumulate stats from 2432 documents (940598 virtual) 2019-03-07 19:44:51,076 : INFO : 39 batches submitted to accumulate stats from 2496 documents (970780 virtual) 2019-03-07 19:44:51,527 : INFO : 40 batches submitted to accumulate stats from 2560 documents (1001530 virtual) 2019-03-07 19:44:52,096 : INFO : 41 batches submitted to accumulate stats from 2624 documents (1036002 virtual) 2019-03-07 19:44:52,135 : INFO : 42 batches submitted to accumulate stats from 2688 documents (1071143 virtual) 2019-03-07 19:44:52,750 : INFO : 43 batches submitted to accumulate stats from 2752 documents (1103204 virtual) 2019-03-07 19:44:53,251 : INFO : 44 batches submitted to accumulate stats from 2816 documents (1137288 virtual) 2019-03-07 19:44:53,457 : INFO : 45 batches submitted to accumulate stats from 2880 documents (1173698 virtual) 2019-03-07 19:44:54,164 : INFO : 46 batches submitted to accumulate stats from 2944 documents (1214636 virtual) 2019-03-07 19:44:54,915 : INFO : 47 batches submitted to accumulate stats from 3008 documents (1252774 virtual) 2019-03-07 19:44:55,141 : INFO : 48 batches submitted to accumulate stats from 3072 documents (1285922 virtual) 2019-03-07 19:44:55,569 : INFO : 49 batches submitted to accumulate stats from 3136 documents (1314610 virtual) 2019-03-07 19:44:56,373 : INFO : 50 batches submitted to accumulate stats from 3200 documents (1346183 virtual) 2019-03-07 19:44:56,623 : INFO : 51 batches submitted to accumulate stats from 3264 documents (1364917 virtual) 2019-03-07 19:44:57,363 : INFO : 52 batches submitted to accumulate stats from 3328 documents (1384351 virtual) 2019-03-07 19:44:57,973 : INFO : 53 batches submitted to accumulate stats from 3392 documents (1408560 virtual) 2019-03-07 19:44:57,993 : INFO : 54 batches submitted to accumulate stats from 3456 documents (1430869 virtual) 2019-03-07 19:44:58,468 : INFO : 55 batches submitted to accumulate stats from 3520 documents (1454446 virtual) 2019-03-07 19:44:58,678 : INFO : 56 batches submitted to accumulate stats from 3584 documents (1479199 virtual) 2019-03-07 19:44:59,143 : INFO : 57 batches submitted to accumulate stats from 3648 documents (1499219 virtual) 2019-03-07 19:44:59,185 : INFO : 58 batches submitted to accumulate stats from 3712 documents (1518549 virtual) 2019-03-07 19:45:00,375 : INFO : serializing accumulator to return to master... 2019-03-07 19:45:00,390 : INFO : accumulator serialized 2019-03-07 19:45:00,621 : INFO : serializing accumulator to return to master... 2019-03-07 19:45:00,626 : INFO : serializing accumulator to return to master... 2019-03-07 19:45:00,633 : INFO : accumulator serialized 2019-03-07 19:45:00,639 : INFO : accumulator serialized 2019-03-07 19:45:00,764 : INFO : 3 accumulators retrieved from output queue 2019-03-07 19:45:00,832 : INFO : accumulated word occurrence stats for 1519949 virtual documents 2019-03-07 19:45:01,607 : INFO : using symmetric alpha at 0.05 2019-03-07 19:45:01,608 : INFO : using symmetric eta at 0.05 2019-03-07 19:45:01,610 : INFO : using serial LDA version on this node 2019-03-07 19:45:01,633 : INFO : running online (single-pass) LDA training, 20 topics, 1 passes over the supplied corpus of 3701 documents, updating model once every 2000 documents, evaluating perplexity every 3701 documents, iterating 50x with a convergence threshold of 0.001000 2019-03-07 19:45:01,635 : WARNING : too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy 2019-03-07 19:45:01,640 : INFO : PROGRESS: pass 0, at document #2000/3701 2019-03-07 19:45:04,101 : INFO : merging changes from 2000 documents into a model of 3701 documents 2019-03-07 19:45:04,120 : INFO : topic #12 (0.050): 0.005*"this_role" + 0.003*"large_scale" + 0.003*"best_practice" + 0.003*"communication_skill" + 0.003*"data_scientist" + 0.003*"software_engineer" + 0.002*"data_mining" + 0.002*"bachelor_degree" + 0.002*"work_closely" + 0.002*"software_development" 2019-03-07 19:45:04,122 : INFO : topic #19 (0.050): 0.004*"data_scientist" + 0.004*"artificial_intelligence" + 0.003*"large_scale" + 0.003*"problem_solving" + 0.003*"pattern_recognition" + 0.003*"this_role" + 0.003*"familiarity_with" + 0.003*"real_time" + 0.002*"work_closely" + 0.002*"programming_language" 2019-03-07 19:45:04,124 : INFO : topic #5 (0.050): 0.005*"data_scientist" + 0.003*"social_medium" + 0.003*"familiarity_with" + 0.003*"data_mining" + 0.003*"artificial_intelligence" + 0.002*"collaborate_with" + 0.002*"this_role" + 0.002*"large_scale" + 0.002*"text_mining" + 0.002*"open_source" 2019-03-07 19:45:04,127 : INFO : topic #4 (0.050): 0.005*"least_year" + 0.004*"data_scientist" + 0.003*"bachelor_degree" + 0.003*"united_state" + 0.003*"must_have" + 0.002*"software_development" + 0.002*"collaborate_with" + 0.002*"passionate_about" + 0.002*"pattern_recognition" + 0.002*"more_than" 2019-03-07 19:45:04,128 : INFO : topic #18 (0.050): 0.003*"familiarity_with" + 0.003*"candidate_will" + 0.002*"communication_skill" + 0.002*"data_scientist" + 0.002*"least_year" + 0.002*"must_have" + 0.002*"open_source" + 0.002*"more_than" + 0.002*"successful_candidate" + 0.002*"team_member" 2019-03-07 19:45:04,131 : INFO : topic diff=3.811888, rho=1.000000 2019-03-07 19:45:08,333 : INFO : -10.934 per-word bound, 1956.9 perplexity estimate based on a held-out corpus of 1701 documents with 566066 words 2019-03-07 19:45:08,333 : INFO : PROGRESS: pass 0, at document #3701/3701 2019-03-07 19:45:10,581 : INFO : merging changes from 1701 documents into a model of 3701 documents 2019-03-07 19:45:10,597 : INFO : topic #6 (0.050): 0.007*"neural_network" + 0.004*"artificial_intelligence" + 0.004*"data_mining" + 0.004*"data_set" + 0.004*"data_scientist" + 0.004*"problem_solving" + 0.003*"decision_tree" + 0.003*"communication_skill" + 0.003*"mining" + 0.003*"this_role" 2019-03-07 19:45:10,599 : INFO : topic #9 (0.050): 0.004*"neural_network" + 0.004*"problem_solving" + 0.003*"self_driving" + 0.002*"collaborate_with" + 0.002*"work_closely" + 0.002*"race_color" + 0.002*"signal_processing" + 0.002*"deep_neural" + 0.002*"software_development" + 0.002*"this_role" 2019-03-07 19:45:10,600 : INFO : topic #10 (0.050): 0.004*"food" + 0.004*"understanding_implication" + 0.004*"high_school" + 0.003*"problem_produce" + 0.003*"familiarity_with" + 0.002*"mortgage_industry" + 0.002*"rule" + 0.002*"related_document" + 0.002*"essential_function" + 0.002*"others" 2019-03-07 19:45:10,602 : INFO : topic #12 (0.050): 0.005*"understand_speech" + 0.005*"this_role" + 0.004*"software_development" + 0.004*"best_practice" + 0.003*"large_scale" + 0.003*"bachelor_degree" + 0.003*"software_engineer" + 0.003*"work_closely" + 0.003*"communication_skill" + 0.003*"alexa" 2019-03-07 19:45:10,604 : INFO : topic #2 (0.050): 0.007*"data_scientist" + 0.005*"this_role" + 0.004*"understand_information" + 0.004*"problem_solving" + 0.003*"software_engineer" + 0.003*"both_current" + 0.003*"sale" + 0.003*"fast_paced" + 0.003*"others_something" + 0.002*"software_development" 2019-03-07 19:45:10,605 : INFO : topic diff=2.913718, rho=0.707107 2019-03-07 19:45:10,614 : INFO : using ParallelWordOccurrenceAccumulator(processes=3, batch_size=64) to estimate probabilities from sliding windows 2019-03-07 19:45:10,680 : INFO : 1 batches submitted to accumulate stats from 64 documents (18134 virtual) 2019-03-07 19:45:10,710 : INFO : 2 batches submitted to accumulate stats from 128 documents (40897 virtual) 2019-03-07 19:45:10,734 : INFO : 3 batches submitted to accumulate stats from 192 documents (62711 virtual) 2019-03-07 19:45:10,768 : INFO : 4 batches submitted to accumulate stats from 256 documents (83886 virtual) 2019-03-07 19:45:10,802 : INFO : 5 batches submitted to accumulate stats from 320 documents (107727 virtual) 2019-03-07 19:45:10,826 : INFO : 6 batches submitted to accumulate stats from 384 documents (129683 virtual) 2019-03-07 19:45:11,335 : INFO : 7 batches submitted to accumulate stats from 448 documents (152868 virtual) 2019-03-07 19:45:11,513 : INFO : 8 batches submitted to accumulate stats from 512 documents (176437 virtual) 2019-03-07 19:45:11,566 : INFO : 9 batches submitted to accumulate stats from 576 documents (203652 virtual) 2019-03-07 19:45:12,141 : INFO : 10 batches submitted to accumulate stats from 640 documents (234947 virtual) 2019-03-07 19:45:12,397 : INFO : 11 batches submitted to accumulate stats from 704 documents (266500 virtual) 2019-03-07 19:45:12,435 : INFO : 12 batches submitted to accumulate stats from 768 documents (290130 virtual) 2019-03-07 19:45:13,057 : INFO : 13 batches submitted to accumulate stats from 832 documents (316871 virtual) 2019-03-07 19:45:13,295 : INFO : 14 batches submitted to accumulate stats from 896 documents (344521 virtual) 2019-03-07 19:45:13,521 : INFO : 15 batches submitted to accumulate stats from 960 documents (374040 virtual) 2019-03-07 19:45:14,263 : INFO : 16 batches submitted to accumulate stats from 1024 documents (403962 virtual) 2019-03-07 19:45:14,400 : INFO : 17 batches submitted to accumulate stats from 1088 documents (423442 virtual) 2019-03-07 19:45:14,500 : INFO : 18 batches submitted to accumulate stats from 1152 documents (439912 virtual) 2019-03-07 19:45:15,220 : INFO : 19 batches submitted to accumulate stats from 1216 documents (463572 virtual) 2019-03-07 19:45:15,346 : INFO : 20 batches submitted to accumulate stats from 1280 documents (485455 virtual) 2019-03-07 19:45:15,592 : INFO : 21 batches submitted to accumulate stats from 1344 documents (505380 virtual) 2019-03-07 19:45:16,013 : INFO : 22 batches submitted to accumulate stats from 1408 documents (529084 virtual) 2019-03-07 19:45:16,183 : INFO : 23 batches submitted to accumulate stats from 1472 documents (550130 virtual) 2019-03-07 19:45:16,262 : INFO : 24 batches submitted to accumulate stats from 1536 documents (571499 virtual) 2019-03-07 19:45:16,852 : INFO : 25 batches submitted to accumulate stats from 1600 documents (595884 virtual) 2019-03-07 19:45:16,941 : INFO : 26 batches submitted to accumulate stats from 1664 documents (631808 virtual) 2019-03-07 19:45:16,965 : INFO : 27 batches submitted to accumulate stats from 1728 documents (657227 virtual) 2019-03-07 19:45:17,631 : INFO : 28 batches submitted to accumulate stats from 1792 documents (677968 virtual) 2019-03-07 19:45:17,655 : INFO : 29 batches submitted to accumulate stats from 1856 documents (705526 virtual) 2019-03-07 19:45:17,678 : INFO : 30 batches submitted to accumulate stats from 1920 documents (729232 virtual) 2019-03-07 19:45:18,475 : INFO : 31 batches submitted to accumulate stats from 1984 documents (751541 virtual) 2019-03-07 19:45:18,567 : INFO : 32 batches submitted to accumulate stats from 2048 documents (775037 virtual) 2019-03-07 19:45:18,885 : INFO : 33 batches submitted to accumulate stats from 2112 documents (797453 virtual) 2019-03-07 19:45:19,206 : INFO : 34 batches submitted to accumulate stats from 2176 documents (823864 virtual) 2019-03-07 19:45:19,521 : INFO : 35 batches submitted to accumulate stats from 2240 documents (851685 virtual) 2019-03-07 19:45:19,761 : INFO : 36 batches submitted to accumulate stats from 2304 documents (880777 virtual) 2019-03-07 19:45:20,124 : INFO : 37 batches submitted to accumulate stats from 2368 documents (912179 virtual) 2019-03-07 19:45:20,478 : INFO : 38 batches submitted to accumulate stats from 2432 documents (940273 virtual) 2019-03-07 19:45:20,653 : INFO : 39 batches submitted to accumulate stats from 2496 documents (969295 virtual) 2019-03-07 19:45:21,183 : INFO : 40 batches submitted to accumulate stats from 2560 documents (1001018 virtual) 2019-03-07 19:45:21,515 : INFO : 41 batches submitted to accumulate stats from 2624 documents (1035809 virtual) 2019-03-07 19:45:21,737 : INFO : 42 batches submitted to accumulate stats from 2688 documents (1070827 virtual) 2019-03-07 19:45:22,401 : INFO : 43 batches submitted to accumulate stats from 2752 documents (1102705 virtual) 2019-03-07 19:45:22,825 : INFO : 44 batches submitted to accumulate stats from 2816 documents (1136999 virtual) 2019-03-07 19:45:23,313 : INFO : 45 batches submitted to accumulate stats from 2880 documents (1173326 virtual) 2019-03-07 19:45:24,160 : INFO : 46 batches submitted to accumulate stats from 2944 documents (1214357 virtual) 2019-03-07 19:45:24,740 : INFO : 47 batches submitted to accumulate stats from 3008 documents (1252691 virtual) 2019-03-07 19:45:25,188 : INFO : 48 batches submitted to accumulate stats from 3072 documents (1285663 virtual) 2019-03-07 19:45:25,778 : INFO : 49 batches submitted to accumulate stats from 3136 documents (1314059 virtual) 2019-03-07 19:45:26,446 : INFO : 50 batches submitted to accumulate stats from 3200 documents (1345558 virtual) 2019-03-07 19:45:26,869 : INFO : 51 batches submitted to accumulate stats from 3264 documents (1364872 virtual) 2019-03-07 19:45:27,755 : INFO : 52 batches submitted to accumulate stats from 3328 documents (1383889 virtual) 2019-03-07 19:45:28,099 : INFO : 53 batches submitted to accumulate stats from 3392 documents (1408251 virtual) 2019-03-07 19:45:28,227 : INFO : 54 batches submitted to accumulate stats from 3456 documents (1430587 virtual) 2019-03-07 19:45:28,867 : INFO : 55 batches submitted to accumulate stats from 3520 documents (1454089 virtual) 2019-03-07 19:45:28,999 : INFO : 56 batches submitted to accumulate stats from 3584 documents (1478691 virtual) 2019-03-07 19:45:29,352 : INFO : 57 batches submitted to accumulate stats from 3648 documents (1498900 virtual) 2019-03-07 19:45:29,573 : INFO : 58 batches submitted to accumulate stats from 3712 documents (1518512 virtual) 2019-03-07 19:45:30,746 : INFO : serializing accumulator to return to master... 2019-03-07 19:45:30,759 : INFO : accumulator serialized 2019-03-07 19:45:30,919 : INFO : serializing accumulator to return to master... 2019-03-07 19:45:30,929 : INFO : accumulator serialized 2019-03-07 19:45:31,080 : INFO : serializing accumulator to return to master... 2019-03-07 19:45:31,091 : INFO : accumulator serialized 2019-03-07 19:45:31,174 : INFO : 3 accumulators retrieved from output queue 2019-03-07 19:45:31,263 : INFO : accumulated word occurrence stats for 1519950 virtual documents 2019-03-07 19:45:32,368 : INFO : using symmetric alpha at 0.038461538461538464 2019-03-07 19:45:32,369 : INFO : using symmetric eta at 0.038461538461538464 2019-03-07 19:45:32,371 : INFO : using serial LDA version on this node 2019-03-07 19:45:32,402 : INFO : running online (single-pass) LDA training, 26 topics, 1 passes over the supplied corpus of 3701 documents, updating model once every 2000 documents, evaluating perplexity every 3701 documents, iterating 50x with a convergence threshold of 0.001000 2019-03-07 19:45:32,402 : WARNING : too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy 2019-03-07 19:45:32,407 : INFO : PROGRESS: pass 0, at document #2000/3701 2019-03-07 19:45:34,958 : INFO : merging changes from 2000 documents into a model of 3701 documents 2019-03-07 19:45:34,980 : INFO : topic #6 (0.038): 0.004*"data_scientist" + 0.004*"more_than" + 0.004*"communication_skill" + 0.003*"pattern_recognition" + 0.003*"data_mining" + 0.003*"this_role" + 0.003*"advanced_analytics" + 0.003*"team_member" + 0.003*"software_development" + 0.002*"data_set" 2019-03-07 19:45:34,981 : INFO : topic #24 (0.038): 0.005*"this_role" + 0.004*"communication_skill" + 0.003*"data_scientist" + 0.003*"artificial_intelligence" + 0.003*"candidate_will" + 0.003*"team_member" + 0.003*"familiarity_with" + 0.002*"bachelor_degree" + 0.002*"enterprise" + 0.002*"problem_solving" 2019-03-07 19:45:34,983 : INFO : topic #11 (0.038): 0.004*"large_scale" + 0.004*"data_scientist" + 0.003*"apache_spark" + 0.003*"software_engineer" + 0.003*"artificial_intelligence" + 0.003*"familiarity_with" + 0.003*"work_closely" + 0.003*"software_development" + 0.003*"pattern_recognition" + 0.003*"least_year" 2019-03-07 19:45:34,985 : INFO : topic #14 (0.038): 0.004*"data_mining" + 0.004*"software_development" + 0.004*"familiarity_with" + 0.003*"best_practice" + 0.003*"pattern_recognition" + 0.003*"data_collection" + 0.003*"health" + 0.003*"bachelor_degree" + 0.003*"data_set" + 0.002*"collaborate_with" 2019-03-07 19:45:34,987 : INFO : topic #13 (0.038): 0.005*"data_scientist" + 0.003*"cutting_edge" + 0.003*"collaborate_with" + 0.003*"passionate_about" + 0.002*"minimum_year" + 0.002*"more_than" + 0.002*"software_engineer" + 0.002*"united_state" + 0.002*"large_scale" + 0.002*"team_member" 2019-03-07 19:45:34,988 : INFO : topic diff=5.001469, rho=1.000000 2019-03-07 19:45:39,332 : INFO : -11.540 per-word bound, 2977.4 perplexity estimate based on a held-out corpus of 1701 documents with 566066 words 2019-03-07 19:45:39,333 : INFO : PROGRESS: pass 0, at document #3701/3701 2019-03-07 19:45:41,459 : INFO : merging changes from 1701 documents into a model of 3701 documents 2019-03-07 19:45:41,482 : INFO : topic #14 (0.038): 0.004*"comprehension" + 0.003*"equipment" + 0.003*"essential_function" + 0.003*"others" + 0.003*"software_development" + 0.003*"management_managing" + 0.003*"policy_procedure" + 0.003*"answer_that" + 0.003*"report" + 0.003*"control" 2019-03-07 19:45:41,484 : INFO : topic #19 (0.038): 0.010*"artificial_intelligence" + 0.004*"this_role" + 0.004*"world_class" + 0.003*"artificial" + 0.003*"computer_vision" + 0.003*"year_relevant" + 0.003*"software_development" + 0.003*"large_scale" + 0.002*"problem_solving" + 0.002*"real_world" 2019-03-07 19:45:41,486 : INFO : topic #15 (0.038): 0.009*"data_set" + 0.005*"neural_network" + 0.005*"data_mining" + 0.004*"data_scientist" + 0.004*"advanced_statistical" + 0.004*"set" + 0.003*"test_proper" + 0.003*"problem_solving" + 0.003*"within_unit" + 0.003*"variety" 2019-03-07 19:45:41,488 : INFO : topic #4 (0.038): 0.008*"computer_vision" + 0.005*"software_development" + 0.005*"neural_network" + 0.004*"apache_spark" + 0.004*"familiarity_with" + 0.004*"large_scale" + 0.004*"real_time" + 0.003*"apache" + 0.003*"tool_such" + 0.003*"security" 2019-03-07 19:45:41,489 : INFO : topic #20 (0.038): 0.013*"data_scientist" + 0.004*"data_set" + 0.004*"must_have" + 0.004*"neural_network" + 0.003*"data_mining" + 0.003*"least_year" + 0.003*"open_source" + 0.003*"predictive_model" + 0.003*"large_scale" + 0.003*"artificial_intelligence" 2019-03-07 19:45:41,491 : INFO : topic diff=3.617339, rho=0.707107 2019-03-07 19:45:41,503 : INFO : using ParallelWordOccurrenceAccumulator(processes=3, batch_size=64) to estimate probabilities from sliding windows 2019-03-07 19:45:41,555 : INFO : 1 batches submitted to accumulate stats from 64 documents (18134 virtual) 2019-03-07 19:45:41,575 : INFO : 2 batches submitted to accumulate stats from 128 documents (40897 virtual) 2019-03-07 19:45:41,602 : INFO : 3 batches submitted to accumulate stats from 192 documents (62711 virtual) 2019-03-07 19:45:41,628 : INFO : 4 batches submitted to accumulate stats from 256 documents (83886 virtual) 2019-03-07 19:45:41,657 : INFO : 5 batches submitted to accumulate stats from 320 documents (107727 virtual) 2019-03-07 19:45:41,697 : INFO : 6 batches submitted to accumulate stats from 384 documents (129683 virtual) 2019-03-07 19:45:42,296 : INFO : 7 batches submitted to accumulate stats from 448 documents (152868 virtual) 2019-03-07 19:45:42,479 : INFO : 8 batches submitted to accumulate stats from 512 documents (176437 virtual) 2019-03-07 19:45:42,531 : INFO : 9 batches submitted to accumulate stats from 576 documents (203652 virtual) 2019-03-07 19:45:43,200 : INFO : 10 batches submitted to accumulate stats from 640 documents (234947 virtual) 2019-03-07 19:45:43,395 : INFO : 11 batches submitted to accumulate stats from 704 documents (266500 virtual) 2019-03-07 19:45:43,451 : INFO : 12 batches submitted to accumulate stats from 768 documents (290130 virtual) 2019-03-07 19:45:44,104 : INFO : 13 batches submitted to accumulate stats from 832 documents (316871 virtual) 2019-03-07 19:45:44,398 : INFO : 14 batches submitted to accumulate stats from 896 documents (344521 virtual) 2019-03-07 19:45:44,813 : INFO : 15 batches submitted to accumulate stats from 960 documents (374040 virtual) 2019-03-07 19:45:45,635 : INFO : 16 batches submitted to accumulate stats from 1024 documents (403835 virtual) 2019-03-07 19:45:45,696 : INFO : 17 batches submitted to accumulate stats from 1088 documents (422943 virtual) 2019-03-07 19:45:45,822 : INFO : 18 batches submitted to accumulate stats from 1152 documents (439497 virtual) 2019-03-07 19:45:46,635 : INFO : 19 batches submitted to accumulate stats from 1216 documents (462780 virtual) 2019-03-07 19:45:46,728 : INFO : 20 batches submitted to accumulate stats from 1280 documents (484580 virtual) 2019-03-07 19:45:46,951 : INFO : 21 batches submitted to accumulate stats from 1344 documents (504552 virtual) 2019-03-07 19:45:47,427 : INFO : 22 batches submitted to accumulate stats from 1408 documents (528318 virtual) 2019-03-07 19:45:47,605 : INFO : 23 batches submitted to accumulate stats from 1472 documents (549332 virtual) 2019-03-07 19:45:47,801 : INFO : 24 batches submitted to accumulate stats from 1536 documents (570857 virtual) 2019-03-07 19:45:48,291 : INFO : 25 batches submitted to accumulate stats from 1600 documents (594878 virtual) 2019-03-07 19:45:48,359 : INFO : 26 batches submitted to accumulate stats from 1664 documents (630113 virtual) 2019-03-07 19:45:48,559 : INFO : 27 batches submitted to accumulate stats from 1728 documents (656281 virtual) 2019-03-07 19:45:49,288 : INFO : 28 batches submitted to accumulate stats from 1792 documents (677489 virtual) 2019-03-07 19:45:49,348 : INFO : 29 batches submitted to accumulate stats from 1856 documents (704469 virtual) 2019-03-07 19:45:49,567 : INFO : 30 batches submitted to accumulate stats from 1920 documents (728876 virtual) 2019-03-07 19:45:50,474 : INFO : 31 batches submitted to accumulate stats from 1984 documents (750930 virtual) 2019-03-07 19:45:50,781 : INFO : 32 batches submitted to accumulate stats from 2048 documents (774099 virtual) 2019-03-07 19:45:51,083 : INFO : 33 batches submitted to accumulate stats from 2112 documents (796531 virtual) 2019-03-07 19:45:51,658 : INFO : 34 batches submitted to accumulate stats from 2176 documents (822980 virtual) 2019-03-07 19:45:52,150 : INFO : 35 batches submitted to accumulate stats from 2240 documents (850836 virtual) 2019-03-07 19:45:52,198 : INFO : 36 batches submitted to accumulate stats from 2304 documents (880237 virtual) 2019-03-07 19:45:52,580 : INFO : 37 batches submitted to accumulate stats from 2368 documents (911078 virtual) 2019-03-07 19:45:53,298 : INFO : 38 batches submitted to accumulate stats from 2432 documents (938578 virtual) 2019-03-07 19:45:53,332 : INFO : 39 batches submitted to accumulate stats from 2496 documents (967858 virtual) 2019-03-07 19:45:53,944 : INFO : 40 batches submitted to accumulate stats from 2560 documents (999943 virtual) 2019-03-07 19:45:54,740 : INFO : 41 batches submitted to accumulate stats from 2624 documents (1034682 virtual) 2019-03-07 19:45:54,839 : INFO : 42 batches submitted to accumulate stats from 2688 documents (1069534 virtual) 2019-03-07 19:45:55,722 : INFO : 43 batches submitted to accumulate stats from 2752 documents (1101327 virtual) 2019-03-07 19:45:56,217 : INFO : 44 batches submitted to accumulate stats from 2816 documents (1136070 virtual) 2019-03-07 19:45:56,752 : INFO : 45 batches submitted to accumulate stats from 2880 documents (1171672 virtual) 2019-03-07 19:45:57,503 : INFO : 46 batches submitted to accumulate stats from 2944 documents (1213110 virtual) 2019-03-07 19:45:58,122 : INFO : 47 batches submitted to accumulate stats from 3008 documents (1251250 virtual) 2019-03-07 19:45:58,805 : INFO : 48 batches submitted to accumulate stats from 3072 documents (1284213 virtual) 2019-03-07 19:45:59,338 : INFO : 49 batches submitted to accumulate stats from 3136 documents (1313108 virtual) 2019-03-07 19:45:59,981 : INFO : 50 batches submitted to accumulate stats from 3200 documents (1344224 virtual) 2019-03-07 19:46:00,714 : INFO : 51 batches submitted to accumulate stats from 3264 documents (1364380 virtual) 2019-03-07 19:46:01,678 : INFO : 52 batches submitted to accumulate stats from 3328 documents (1382889 virtual) 2019-03-07 19:46:01,815 : INFO : 53 batches submitted to accumulate stats from 3392 documents (1407155 virtual) 2019-03-07 19:46:02,227 : INFO : 54 batches submitted to accumulate stats from 3456 documents (1429292 virtual) 2019-03-07 19:46:03,000 : INFO : 55 batches submitted to accumulate stats from 3520 documents (1453151 virtual) 2019-03-07 19:46:03,212 : INFO : 56 batches submitted to accumulate stats from 3584 documents (1477081 virtual) 2019-03-07 19:46:03,324 : INFO : 57 batches submitted to accumulate stats from 3648 documents (1497099 virtual) 2019-03-07 19:46:03,866 : INFO : 58 batches submitted to accumulate stats from 3712 documents (1518350 virtual) 2019-03-07 19:46:05,599 : INFO : serializing accumulator to return to master... 2019-03-07 19:46:05,756 : INFO : serializing accumulator to return to master... 2019-03-07 19:46:05,613 : INFO : accumulator serialized 2019-03-07 19:46:05,768 : INFO : accumulator serialized 2019-03-07 19:46:06,053 : INFO : serializing accumulator to return to master... 2019-03-07 19:46:06,065 : INFO : accumulator serialized 2019-03-07 19:46:06,176 : INFO : 3 accumulators retrieved from output queue 2019-03-07 19:46:06,308 : INFO : accumulated word occurrence stats for 1519952 virtual documents 2019-03-07 19:46:07,763 : INFO : using symmetric alpha at 0.03125 2019-03-07 19:46:07,764 : INFO : using symmetric eta at 0.03125 2019-03-07 19:46:07,766 : INFO : using serial LDA version on this node 2019-03-07 19:46:07,800 : INFO : running online (single-pass) LDA training, 32 topics, 1 passes over the supplied corpus of 3701 documents, updating model once every 2000 documents, evaluating perplexity every 3701 documents, iterating 50x with a convergence threshold of 0.001000 2019-03-07 19:46:07,801 : WARNING : too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy 2019-03-07 19:46:07,806 : INFO : PROGRESS: pass 0, at document #2000/3701 2019-03-07 19:46:10,494 : INFO : merging changes from 2000 documents into a model of 3701 documents 2019-03-07 19:46:10,531 : INFO : topic #24 (0.031): 0.014*"data_scientist" + 0.005*"data_set" + 0.004*"data_mining" + 0.003*"this_role" + 0.003*"collaborate_with" + 0.003*"problem_solving" + 0.003*"large_scale" + 0.002*"team_member" + 0.002*"cutting_edge" + 0.002*"text_mining" 2019-03-07 19:46:10,533 : INFO : topic #31 (0.031): 0.003*"data_set" + 0.003*"software_development" + 0.003*"problem_solving" + 0.003*"data_scientist" + 0.003*"must_have" + 0.003*"this_role" + 0.003*"pattern_recognition" + 0.003*"large_scale" + 0.003*"team_member" + 0.002*"data_collection" 2019-03-07 19:46:10,534 : INFO : topic #1 (0.031): 0.004*"data_set" + 0.004*"apache_spark" + 0.004*"familiarity_with" + 0.003*"real_time" + 0.002*"pattern_recognition" + 0.002*"tool_such" + 0.002*"mining" + 0.002*"open_source" + 0.002*"this_role" + 0.002*"data_scientist" 2019-03-07 19:46:10,537 : INFO : topic #20 (0.031): 0.005*"data_scientist" + 0.004*"large_scale" + 0.003*"real_time" + 0.003*"collaborate_with" + 0.003*"data_mining" + 0.002*"familiarity_with" + 0.002*"predictive_modeling" + 0.002*"predictive" + 0.002*"passionate_about" + 0.002*"this_role" 2019-03-07 19:46:10,539 : INFO : topic #6 (0.031): 0.006*"this_role" + 0.006*"health" + 0.005*"software_development" + 0.004*"computer_vision" + 0.004*"data_scientist" + 0.003*"software_engineer" + 0.003*"familiarity_with" + 0.003*"large_scale" + 0.003*"google" + 0.003*"artificial_intelligence" 2019-03-07 19:46:10,541 : INFO : topic diff=6.360070, rho=1.000000 2019-03-07 19:46:15,384 : INFO : -12.130 per-word bound, 4481.5 perplexity estimate based on a held-out corpus of 1701 documents with 566066 words 2019-03-07 19:46:15,385 : INFO : PROGRESS: pass 0, at document #3701/3701 2019-03-07 19:46:17,877 : INFO : merging changes from 1701 documents into a model of 3701 documents 2019-03-07 19:46:17,906 : INFO : topic #18 (0.031): 0.006*"student" + 0.004*"teaching" + 0.004*"university" + 0.003*"faculty" + 0.003*"must_able" + 0.003*"ability_tell" + 0.003*"others" + 0.003*"part_time" + 0.002*"essential_function" + 0.002*"school" 2019-03-07 19:46:17,909 : INFO : topic #10 (0.031): 0.009*"understand_information" + 0.006*"ability_listen" + 0.004*"others_understand" + 0.004*"rule" + 0.003*"coworkers_from" + 0.003*"race_color" + 0.003*"without_regard" + 0.003*"spelling" + 0.003*"large_scale" + 0.002*"speech_recognition" 2019-03-07 19:46:17,910 : INFO : topic #8 (0.031): 0.009*"software_development" + 0.007*"software_engineer" + 0.006*"real_time" + 0.005*"apache" + 0.004*"familiarity_with" + 0.004*"high_performance" + 0.004*"bachelor_degree" + 0.004*"apache_spark" + 0.004*"integration" + 0.004*"best_practice" 2019-03-07 19:46:17,912 : INFO : topic #3 (0.031): 0.004*"this_role" + 0.004*"marketing" + 0.003*"data_scientist" + 0.003*"team_member" + 0.003*"best_practice" + 0.003*"large_scale" + 0.003*"speech_recognition" + 0.003*"collaborate_with" + 0.003*"voice" + 0.003*"next_generation" 2019-03-07 19:46:17,914 : INFO : topic #17 (0.031): 0.010*"apache" + 0.007*"apache_spark" + 0.004*"sale" + 0.004*"open_source" + 0.003*"collaborate_with" + 0.003*"databricks" + 0.003*"security" + 0.002*"fast_paced" + 0.002*"distributed" + 0.002*"will_responsible" 2019-03-07 19:46:17,916 : INFO : topic diff=4.313539, rho=0.707107 2019-03-07 19:46:17,929 : INFO : using ParallelWordOccurrenceAccumulator(processes=3, batch_size=64) to estimate probabilities from sliding windows 2019-03-07 19:46:17,992 : INFO : 1 batches submitted to accumulate stats from 64 documents (18134 virtual) 2019-03-07 19:46:18,014 : INFO : 2 batches submitted to accumulate stats from 128 documents (40897 virtual) 2019-03-07 19:46:18,050 : INFO : 3 batches submitted to accumulate stats from 192 documents (62711 virtual) 2019-03-07 19:46:18,084 : INFO : 4 batches submitted to accumulate stats from 256 documents (83886 virtual) 2019-03-07 19:46:18,118 : INFO : 5 batches submitted to accumulate stats from 320 documents (107727 virtual) 2019-03-07 19:46:18,147 : INFO : 6 batches submitted to accumulate stats from 384 documents (129683 virtual) 2019-03-07 19:46:18,822 : INFO : 7 batches submitted to accumulate stats from 448 documents (152868 virtual) 2019-03-07 19:46:19,180 : INFO : 8 batches submitted to accumulate stats from 512 documents (176437 virtual) 2019-03-07 19:46:19,203 : INFO : 9 batches submitted to accumulate stats from 576 documents (203652 virtual) 2019-03-07 19:46:20,158 : INFO : 10 batches submitted to accumulate stats from 640 documents (234947 virtual) 2019-03-07 19:46:20,490 : INFO : 11 batches submitted to accumulate stats from 704 documents (266500 virtual) 2019-03-07 19:46:20,564 : INFO : 12 batches submitted to accumulate stats from 768 documents (290130 virtual) 2019-03-07 19:46:21,231 : INFO : 13 batches submitted to accumulate stats from 832 documents (316871 virtual) 2019-03-07 19:46:21,494 : INFO : 14 batches submitted to accumulate stats from 896 documents (344521 virtual) 2019-03-07 19:46:21,925 : INFO : 15 batches submitted to accumulate stats from 960 documents (374040 virtual) 2019-03-07 19:46:22,850 : INFO : 16 batches submitted to accumulate stats from 1024 documents (403962 virtual) 2019-03-07 19:46:22,931 : INFO : 17 batches submitted to accumulate stats from 1088 documents (423442 virtual) 2019-03-07 19:46:23,067 : INFO : 18 batches submitted to accumulate stats from 1152 documents (439912 virtual) 2019-03-07 19:46:23,945 : INFO : 19 batches submitted to accumulate stats from 1216 documents (463058 virtual) 2019-03-07 19:46:23,993 : INFO : 20 batches submitted to accumulate stats from 1280 documents (484938 virtual) 2019-03-07 19:46:24,287 : INFO : 21 batches submitted to accumulate stats from 1344 documents (505129 virtual) 2019-03-07 19:46:24,738 : INFO : 22 batches submitted to accumulate stats from 1408 documents (528956 virtual) 2019-03-07 19:46:24,974 : INFO : 23 batches submitted to accumulate stats from 1472 documents (549912 virtual) 2019-03-07 19:46:25,231 : INFO : 24 batches submitted to accumulate stats from 1536 documents (571359 virtual) 2019-03-07 19:46:25,825 : INFO : 25 batches submitted to accumulate stats from 1600 documents (595367 virtual) 2019-03-07 19:46:25,957 : INFO : 26 batches submitted to accumulate stats from 1664 documents (631144 virtual) 2019-03-07 19:46:26,188 : INFO : 27 batches submitted to accumulate stats from 1728 documents (656605 virtual) 2019-03-07 19:46:26,805 : INFO : 28 batches submitted to accumulate stats from 1792 documents (677646 virtual) 2019-03-07 19:46:26,846 : INFO : 29 batches submitted to accumulate stats from 1856 documents (705201 virtual) 2019-03-07 19:46:27,195 : INFO : 30 batches submitted to accumulate stats from 1920 documents (729115 virtual) 2019-03-07 19:46:27,906 : INFO : 31 batches submitted to accumulate stats from 1984 documents (751118 virtual) 2019-03-07 19:46:28,322 : INFO : 32 batches submitted to accumulate stats from 2048 documents (774663 virtual) 2019-03-07 19:46:28,349 : INFO : 33 batches submitted to accumulate stats from 2112 documents (797164 virtual) 2019-03-07 19:46:28,903 : INFO : 34 batches submitted to accumulate stats from 2176 documents (823449 virtual) 2019-03-07 19:46:29,450 : INFO : 35 batches submitted to accumulate stats from 2240 documents (851126 virtual) 2019-03-07 19:46:29,599 : INFO : 36 batches submitted to accumulate stats from 2304 documents (880491 virtual) 2019-03-07 19:46:29,904 : INFO : 37 batches submitted to accumulate stats from 2368 documents (911748 virtual) 2019-03-07 19:46:30,616 : INFO : 38 batches submitted to accumulate stats from 2432 documents (939088 virtual) 2019-03-07 19:46:30,645 : INFO : 39 batches submitted to accumulate stats from 2496 documents (968252 virtual) 2019-03-07 19:46:31,244 : INFO : 40 batches submitted to accumulate stats from 2560 documents (1000227 virtual) 2019-03-07 19:46:31,953 : INFO : 41 batches submitted to accumulate stats from 2624 documents (1035571 virtual) 2019-03-07 19:46:32,053 : INFO : 42 batches submitted to accumulate stats from 2688 documents (1070496 virtual) 2019-03-07 19:46:32,703 : INFO : 43 batches submitted to accumulate stats from 2752 documents (1102051 virtual) 2019-03-07 19:46:33,448 : INFO : 44 batches submitted to accumulate stats from 2816 documents (1136689 virtual) 2019-03-07 19:46:34,069 : INFO : 45 batches submitted to accumulate stats from 2880 documents (1172424 virtual) 2019-03-07 19:46:34,838 : INFO : 46 batches submitted to accumulate stats from 2944 documents (1213969 virtual) 2019-03-07 19:46:35,853 : INFO : 47 batches submitted to accumulate stats from 3008 documents (1252400 virtual) 2019-03-07 19:46:36,548 : INFO : 48 batches submitted to accumulate stats from 3072 documents (1284670 virtual) 2019-03-07 19:46:36,994 : INFO : 49 batches submitted to accumulate stats from 3136 documents (1313516 virtual) 2019-03-07 19:46:38,016 : INFO : 50 batches submitted to accumulate stats from 3200 documents (1344847 virtual) 2019-03-07 19:46:38,665 : INFO : 51 batches submitted to accumulate stats from 3264 documents (1364814 virtual) 2019-03-07 19:46:39,748 : INFO : 52 batches submitted to accumulate stats from 3328 documents (1383635 virtual) 2019-03-07 19:46:40,221 : INFO : 53 batches submitted to accumulate stats from 3392 documents (1407780 virtual) 2019-03-07 19:46:40,377 : INFO : 54 batches submitted to accumulate stats from 3456 documents (1430052 virtual) 2019-03-07 19:46:41,315 : INFO : 55 batches submitted to accumulate stats from 3520 documents (1453889 virtual) 2019-03-07 19:46:41,440 : INFO : 56 batches submitted to accumulate stats from 3584 documents (1478255 virtual) 2019-03-07 19:46:41,770 : INFO : 57 batches submitted to accumulate stats from 3648 documents (1498564 virtual) 2019-03-07 19:46:42,155 : INFO : 58 batches submitted to accumulate stats from 3712 documents (1518484 virtual) 2019-03-07 19:46:43,596 : INFO : serializing accumulator to return to master... 2019-03-07 19:46:43,613 : INFO : accumulator serialized 2019-03-07 19:46:43,645 : INFO : serializing accumulator to return to master... 2019-03-07 19:46:43,695 : INFO : accumulator serialized 2019-03-07 19:46:44,014 : INFO : serializing accumulator to return to master... 2019-03-07 19:46:44,026 : INFO : accumulator serialized 2019-03-07 19:46:44,175 : INFO : 3 accumulators retrieved from output queue 2019-03-07 19:46:44,338 : INFO : accumulated word occurrence stats for 1519951 virtual documents 2019-03-07 19:46:45,974 : INFO : using symmetric alpha at 0.02631578947368421 2019-03-07 19:46:45,975 : INFO : using symmetric eta at 0.02631578947368421 2019-03-07 19:46:45,977 : INFO : using serial LDA version on this node 2019-03-07 19:46:46,016 : INFO : running online (single-pass) LDA training, 38 topics, 1 passes over the supplied corpus of 3701 documents, updating model once every 2000 documents, evaluating perplexity every 3701 documents, iterating 50x with a convergence threshold of 0.001000 2019-03-07 19:46:46,017 : WARNING : too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy 2019-03-07 19:46:46,021 : INFO : PROGRESS: pass 0, at document #2000/3701 2019-03-07 19:46:48,618 : INFO : merging changes from 2000 documents into a model of 3701 documents 2019-03-07 19:46:48,651 : INFO : topic #2 (0.026): 0.005*"cutting_edge" + 0.004*"familiarity_with" + 0.004*"data_scientist" + 0.003*"computer_vision" + 0.003*"more_than" + 0.003*"intern" + 0.003*"text" + 0.003*"text_mining" + 0.003*"collaborate_with" + 0.003*"software_development" 2019-03-07 19:46:48,653 : INFO : topic #27 (0.026): 0.003*"more_than" + 0.003*"part_time" + 0.003*"internship" + 0.002*"passionate_about" + 0.002*"around_world" + 0.002*"computer_vision" + 0.002*"software_development" + 0.002*"data_scientist" + 0.002*"around" + 0.002*"career" 2019-03-07 19:46:48,655 : INFO : topic #6 (0.026): 0.005*"software_development" + 0.004*"pattern_recognition" + 0.003*"data_scientist" + 0.003*"artificial_intelligence" + 0.003*"bachelor_degree" + 0.003*"bachelor_master" + 0.002*"equal_employment" + 0.002*"familiarity_with" + 0.002*"full_time" + 0.002*"data_set" 2019-03-07 19:46:48,657 : INFO : topic #10 (0.026): 0.008*"data_scientist" + 0.004*"data_set" + 0.003*"data_mining" + 0.003*"collaborate_with" + 0.003*"real_time" + 0.003*"open_source" + 0.003*"type_full" + 0.003*"familiarity_with" + 0.002*"predictive" + 0.002*"communication_skill" 2019-03-07 19:46:48,658 : INFO : topic #7 (0.026): 0.003*"data_scientist" + 0.003*"artificial_intelligence" + 0.002*"pattern_recognition" + 0.002*"large_scale" + 0.002*"signal_processing" + 0.002*"master_degree" + 0.002*"this_role" + 0.002*"communication_skill" + 0.002*"data_mining" + 0.002*"bachelor_degree" 2019-03-07 19:46:48,660 : INFO : topic diff=7.874848, rho=1.000000 2019-03-07 19:46:53,325 : INFO : -12.741 per-word bound, 6845.3 perplexity estimate based on a held-out corpus of 1701 documents with 566066 words 2019-03-07 19:46:53,325 : INFO : PROGRESS: pass 0, at document #3701/3701 2019-03-07 19:46:56,166 : INFO : merging changes from 1701 documents into a model of 3701 documents 2019-03-07 19:46:56,197 : INFO : topic #21 (0.026): 0.005*"related_document" + 0.004*"data_set" + 0.004*"data_mining" + 0.004*"neural_network" + 0.003*"data_scientist" + 0.003*"duty" + 0.003*"procedure" + 0.003*"familiarity_with" + 0.002*"problem_solving" + 0.002*"resident" 2019-03-07 19:46:56,199 : INFO : topic #9 (0.026): 0.018*"guest_service" + 0.003*"candidate_will" + 0.003*"problem_solving" + 0.003*"unrelated" + 0.003*"communication_skill" + 0.003*"during_normal" + 0.003*"this_role" + 0.002*"neural_network" + 0.002*"team_member" + 0.002*"seemingly_unrelated" 2019-03-07 19:46:56,200 : INFO : topic #22 (0.026): 0.006*"food" + 0.004*"food_safety" + 0.004*"word_picture" + 0.004*"essential_function" + 0.003*"customer_worker" + 0.003*"transportation_provided" + 0.003*"being_made" + 0.003*"others" + 0.003*"loancare" + 0.003*"join_star" 2019-03-07 19:46:56,202 : INFO : topic #32 (0.026): 0.008*"understand_speech" + 0.007*"software_development" + 0.005*"speech_recognition" + 0.004*"bend_lift" + 0.004*"real_time" + 0.004*"distributed_system" + 0.003*"large_scale" + 0.003*"familiarity_with" + 0.003*"apache" + 0.003*"automatic_speech" 2019-03-07 19:46:56,204 : INFO : topic #11 (0.026): 0.008*"deductive_reasoning" + 0.005*"familiarity_with" + 0.005*"deductive" + 0.004*"must_able" + 0.004*"understand_information" + 0.003*"problem_solving" + 0.003*"collaborate_with" + 0.003*"speech_recognition" + 0.003*"bachelor_degree" + 0.002*"data_scientist" 2019-03-07 19:46:56,207 : INFO : topic diff=5.143586, rho=0.707107 2019-03-07 19:46:56,219 : INFO : using ParallelWordOccurrenceAccumulator(processes=3, batch_size=64) to estimate probabilities from sliding windows 2019-03-07 19:46:56,275 : INFO : 1 batches submitted to accumulate stats from 64 documents (18134 virtual) 2019-03-07 19:46:56,294 : INFO : 2 batches submitted to accumulate stats from 128 documents (40897 virtual) 2019-03-07 19:46:56,317 : INFO : 3 batches submitted to accumulate stats from 192 documents (62711 virtual) 2019-03-07 19:46:56,339 : INFO : 4 batches submitted to accumulate stats from 256 documents (83886 virtual) 2019-03-07 19:46:56,368 : INFO : 5 batches submitted to accumulate stats from 320 documents (107727 virtual) 2019-03-07 19:46:56,396 : INFO : 6 batches submitted to accumulate stats from 384 documents (129683 virtual) 2019-03-07 19:46:57,112 : INFO : 7 batches submitted to accumulate stats from 448 documents (152868 virtual) 2019-03-07 19:46:57,333 : INFO : 8 batches submitted to accumulate stats from 512 documents (176437 virtual) 2019-03-07 19:46:57,365 : INFO : 9 batches submitted to accumulate stats from 576 documents (203652 virtual) 2019-03-07 19:46:58,098 : INFO : 10 batches submitted to accumulate stats from 640 documents (234947 virtual) 2019-03-07 19:46:58,371 : INFO : 11 batches submitted to accumulate stats from 704 documents (266500 virtual) 2019-03-07 19:46:58,415 : INFO : 12 batches submitted to accumulate stats from 768 documents (290130 virtual) 2019-03-07 19:46:59,223 : INFO : 13 batches submitted to accumulate stats from 832 documents (316871 virtual) 2019-03-07 19:46:59,489 : INFO : 14 batches submitted to accumulate stats from 896 documents (344521 virtual) 2019-03-07 19:46:59,819 : INFO : 15 batches submitted to accumulate stats from 960 documents (374040 virtual) 2019-03-07 19:47:00,745 : INFO : 16 batches submitted to accumulate stats from 1024 documents (403160 virtual) 2019-03-07 19:47:00,929 : INFO : 17 batches submitted to accumulate stats from 1088 documents (422189 virtual) 2019-03-07 19:47:00,953 : INFO : 18 batches submitted to accumulate stats from 1152 documents (438704 virtual) 2019-03-07 19:47:02,063 : INFO : 19 batches submitted to accumulate stats from 1216 documents (462109 virtual) 2019-03-07 19:47:02,248 : INFO : 20 batches submitted to accumulate stats from 1280 documents (482906 virtual) 2019-03-07 19:47:02,397 : INFO : 21 batches submitted to accumulate stats from 1344 documents (503870 virtual) 2019-03-07 19:47:03,199 : INFO : 22 batches submitted to accumulate stats from 1408 documents (527414 virtual) 2019-03-07 19:47:03,274 : INFO : 23 batches submitted to accumulate stats from 1472 documents (548719 virtual) 2019-03-07 19:47:03,587 : INFO : 24 batches submitted to accumulate stats from 1536 documents (570463 virtual) 2019-03-07 19:47:04,137 : INFO : 25 batches submitted to accumulate stats from 1600 documents (593678 virtual) 2019-03-07 19:47:04,213 : INFO : 26 batches submitted to accumulate stats from 1664 documents (628776 virtual) 2019-03-07 19:47:04,422 : INFO : 27 batches submitted to accumulate stats from 1728 documents (655397 virtual) 2019-03-07 19:47:05,087 : INFO : 28 batches submitted to accumulate stats from 1792 documents (676441 virtual) 2019-03-07 19:47:05,109 : INFO : 29 batches submitted to accumulate stats from 1856 documents (703537 virtual) 2019-03-07 19:47:05,304 : INFO : 30 batches submitted to accumulate stats from 1920 documents (728464 virtual) 2019-03-07 19:47:06,083 : INFO : 31 batches submitted to accumulate stats from 1984 documents (750166 virtual) 2019-03-07 19:47:06,485 : INFO : 32 batches submitted to accumulate stats from 2048 documents (772804 virtual) 2019-03-07 19:47:06,722 : INFO : 33 batches submitted to accumulate stats from 2112 documents (795927 virtual) 2019-03-07 19:47:06,988 : INFO : 34 batches submitted to accumulate stats from 2176 documents (822118 virtual) 2019-03-07 19:47:07,718 : INFO : 35 batches submitted to accumulate stats from 2240 documents (849719 virtual) 2019-03-07 19:47:07,832 : INFO : 36 batches submitted to accumulate stats from 2304 documents (879295 virtual) 2019-03-07 19:47:08,083 : INFO : 37 batches submitted to accumulate stats from 2368 documents (909944 virtual) 2019-03-07 19:47:08,904 : INFO : 38 batches submitted to accumulate stats from 2432 documents (937516 virtual) 2019-03-07 19:47:08,950 : INFO : 39 batches submitted to accumulate stats from 2496 documents (966499 virtual) 2019-03-07 19:47:09,496 : INFO : 40 batches submitted to accumulate stats from 2560 documents (999090 virtual) 2019-03-07 19:47:10,392 : INFO : 41 batches submitted to accumulate stats from 2624 documents (1032732 virtual) 2019-03-07 19:47:10,583 : INFO : 42 batches submitted to accumulate stats from 2688 documents (1067767 virtual) 2019-03-07 19:47:11,157 : INFO : 43 batches submitted to accumulate stats from 2752 documents (1099482 virtual) 2019-03-07 19:47:12,117 : INFO : 44 batches submitted to accumulate stats from 2816 documents (1134128 virtual) 2019-03-07 19:47:12,884 : INFO : 45 batches submitted to accumulate stats from 2880 documents (1170075 virtual) 2019-03-07 19:47:13,719 : INFO : 46 batches submitted to accumulate stats from 2944 documents (1211500 virtual) 2019-03-07 19:47:14,963 : INFO : 47 batches submitted to accumulate stats from 3008 documents (1248485 virtual) 2019-03-07 19:47:15,925 : INFO : 48 batches submitted to accumulate stats from 3072 documents (1282958 virtual) 2019-03-07 19:47:16,284 : INFO : 49 batches submitted to accumulate stats from 3136 documents (1311937 virtual) 2019-03-07 19:47:17,698 : INFO : 50 batches submitted to accumulate stats from 3200 documents (1343173 virtual) 2019-03-07 19:47:18,560 : INFO : 51 batches submitted to accumulate stats from 3264 documents (1363893 virtual) 2019-03-07 19:47:19,718 : INFO : 52 batches submitted to accumulate stats from 3328 documents (1382089 virtual) 2019-03-07 19:47:20,459 : INFO : 53 batches submitted to accumulate stats from 3392 documents (1406138 virtual) 2019-03-07 19:47:20,763 : INFO : 54 batches submitted to accumulate stats from 3456 documents (1428129 virtual) 2019-03-07 19:47:21,284 : INFO : 55 batches submitted to accumulate stats from 3520 documents (1452033 virtual) 2019-03-07 19:47:21,856 : INFO : 56 batches submitted to accumulate stats from 3584 documents (1476404 virtual) 2019-03-07 19:47:22,087 : INFO : 57 batches submitted to accumulate stats from 3648 documents (1496549 virtual) 2019-03-07 19:47:22,240 : INFO : 58 batches submitted to accumulate stats from 3712 documents (1518216 virtual) 2019-03-07 19:47:24,106 : INFO : serializing accumulator to return to master... 2019-03-07 19:47:24,120 : INFO : accumulator serialized 2019-03-07 19:47:24,186 : INFO : serializing accumulator to return to master... 2019-03-07 19:47:24,369 : INFO : serializing accumulator to return to master... 2019-03-07 19:47:24,200 : INFO : accumulator serialized 2019-03-07 19:47:24,397 : INFO : accumulator serialized 2019-03-07 19:47:24,649 : INFO : 3 accumulators retrieved from output queue 2019-03-07 19:47:24,906 : INFO : accumulated word occurrence stats for 1519954 virtual documents
In [74]:
model_list, coherence_values = compute_coherence_values(dictionary=dictionary, corpus=corpus, texts=docs, start=2, limit=40, step=6)
# Show graph
import matplotlib.pyplot as plt
limit=40; start=2; step=6;
x = range(start, limit, step)
plt.plot(x, coherence_values)
plt.xlabel("Num Topics")
plt.ylabel("Coherence score")
plt.legend(("coherence_values"), loc='best')
plt.show()
2019-03-07 19:47:27,184 : INFO : using symmetric alpha at 0.5 2019-03-07 19:47:27,185 : INFO : using symmetric eta at 0.5 2019-03-07 19:47:27,188 : INFO : using serial LDA version on this node 2019-03-07 19:47:27,213 : INFO : running online (single-pass) LDA training, 2 topics, 1 passes over the supplied corpus of 3701 documents, updating model once every 2000 documents, evaluating perplexity every 3701 documents, iterating 50x with a convergence threshold of 0.001000 2019-03-07 19:47:27,239 : WARNING : too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy 2019-03-07 19:47:27,249 : INFO : PROGRESS: pass 0, at document #2000/3701 2019-03-07 19:47:29,603 : INFO : merging changes from 2000 documents into a model of 3701 documents 2019-03-07 19:47:29,606 : INFO : topic #0 (0.500): 0.005*"data_scientist" + 0.003*"pattern_recognition" + 0.003*"large_scale" + 0.003*"familiarity_with" + 0.002*"team_member" + 0.002*"work_closely" + 0.002*"communication_skill" + 0.002*"this_role" + 0.002*"bachelor_degree" + 0.002*"problem_solving" 2019-03-07 19:47:29,607 : INFO : topic #1 (0.500): 0.004*"data_scientist" + 0.003*"data_mining" + 0.003*"artificial_intelligence" + 0.003*"this_role" + 0.003*"data_set" + 0.003*"collaborate_with" + 0.002*"problem_solving" + 0.002*"software_development" + 0.002*"familiarity_with" + 0.002*"large_scale" 2019-03-07 19:47:29,608 : INFO : topic diff=1.408807, rho=1.000000 2019-03-07 19:47:33,372 : INFO : -9.200 per-word bound, 588.1 perplexity estimate based on a held-out corpus of 1701 documents with 566066 words 2019-03-07 19:47:33,373 : INFO : PROGRESS: pass 0, at document #3701/3701 2019-03-07 19:47:35,193 : INFO : merging changes from 1701 documents into a model of 3701 documents 2019-03-07 19:47:35,196 : INFO : topic #0 (0.500): 0.003*"data_scientist" + 0.002*"neural_network" + 0.002*"others" + 0.002*"familiarity_with" + 0.002*"bachelor_degree" + 0.002*"team_member" + 0.002*"least_year" + 0.002*"speech_recognition" + 0.002*"large_scale" + 0.002*"essential_function" 2019-03-07 19:47:35,198 : INFO : topic #1 (0.500): 0.004*"software_development" + 0.003*"artificial_intelligence" + 0.003*"data_scientist" + 0.003*"speech_recognition" + 0.003*"computer_vision" + 0.003*"neural_network" + 0.003*"apache_spark" + 0.003*"this_role" + 0.002*"collaborate_with" + 0.002*"familiarity_with" 2019-03-07 19:47:35,200 : INFO : topic diff=0.911594, rho=0.707107 2019-03-07 19:47:35,204 : INFO : using ParallelWordOccurrenceAccumulator(processes=3, batch_size=64) to estimate probabilities from sliding windows 2019-03-07 19:47:35,255 : INFO : 1 batches submitted to accumulate stats from 64 documents (18334 virtual) 2019-03-07 19:47:35,278 : INFO : 2 batches submitted to accumulate stats from 128 documents (41959 virtual) 2019-03-07 19:47:35,304 : INFO : 3 batches submitted to accumulate stats from 192 documents (64543 virtual) 2019-03-07 19:47:35,329 : INFO : 4 batches submitted to accumulate stats from 256 documents (86173 virtual) 2019-03-07 19:47:35,358 : INFO : 5 batches submitted to accumulate stats from 320 documents (108970 virtual) 2019-03-07 19:47:35,386 : INFO : 6 batches submitted to accumulate stats from 384 documents (131678 virtual) 2019-03-07 19:47:35,667 : INFO : 7 batches submitted to accumulate stats from 448 documents (156797 virtual) 2019-03-07 19:47:35,767 : INFO : 8 batches submitted to accumulate stats from 512 documents (180617 virtual) 2019-03-07 19:47:35,798 : INFO : 9 batches submitted to accumulate stats from 576 documents (209697 virtual) 2019-03-07 19:47:36,104 : INFO : 10 batches submitted to accumulate stats from 640 documents (243074 virtual) 2019-03-07 19:47:36,232 : INFO : 11 batches submitted to accumulate stats from 704 documents (268477 virtual) 2019-03-07 19:47:36,300 : INFO : 12 batches submitted to accumulate stats from 768 documents (296615 virtual) 2019-03-07 19:47:36,648 : INFO : 13 batches submitted to accumulate stats from 832 documents (323519 virtual) 2019-03-07 19:47:36,720 : INFO : 14 batches submitted to accumulate stats from 896 documents (352562 virtual) 2019-03-07 19:47:36,920 : INFO : 15 batches submitted to accumulate stats from 960 documents (383729 virtual) 2019-03-07 19:47:37,288 : INFO : 16 batches submitted to accumulate stats from 1024 documents (407568 virtual) 2019-03-07 19:47:37,441 : INFO : 17 batches submitted to accumulate stats from 1088 documents (426718 virtual) 2019-03-07 19:47:37,561 : INFO : 18 batches submitted to accumulate stats from 1152 documents (448700 virtual) 2019-03-07 19:47:37,942 : INFO : 19 batches submitted to accumulate stats from 1216 documents (468530 virtual) 2019-03-07 19:47:38,094 : INFO : 20 batches submitted to accumulate stats from 1280 documents (491395 virtual) 2019-03-07 19:47:38,258 : INFO : 21 batches submitted to accumulate stats from 1344 documents (515397 virtual) 2019-03-07 19:47:38,447 : INFO : 22 batches submitted to accumulate stats from 1408 documents (537937 virtual) 2019-03-07 19:47:38,522 : INFO : 23 batches submitted to accumulate stats from 1472 documents (559818 virtual) 2019-03-07 19:47:38,735 : INFO : 24 batches submitted to accumulate stats from 1536 documents (584459 virtual) 2019-03-07 19:47:38,899 : INFO : 25 batches submitted to accumulate stats from 1600 documents (621230 virtual) 2019-03-07 19:47:38,989 : INFO : 26 batches submitted to accumulate stats from 1664 documents (647009 virtual) 2019-03-07 19:47:39,168 : INFO : 27 batches submitted to accumulate stats from 1728 documents (667891 virtual) 2019-03-07 19:47:39,335 : INFO : 28 batches submitted to accumulate stats from 1792 documents (695049 virtual) 2019-03-07 19:47:39,358 : INFO : 29 batches submitted to accumulate stats from 1856 documents (719081 virtual) 2019-03-07 19:47:39,625 : INFO : 30 batches submitted to accumulate stats from 1920 documents (741677 virtual) 2019-03-07 19:47:39,893 : INFO : 31 batches submitted to accumulate stats from 1984 documents (764476 virtual) 2019-03-07 19:47:40,041 : INFO : 32 batches submitted to accumulate stats from 2048 documents (787509 virtual) 2019-03-07 19:47:40,110 : INFO : 33 batches submitted to accumulate stats from 2112 documents (813616 virtual) 2019-03-07 19:47:40,497 : INFO : 34 batches submitted to accumulate stats from 2176 documents (841912 virtual) 2019-03-07 19:47:40,591 : INFO : 35 batches submitted to accumulate stats from 2240 documents (870279 virtual) 2019-03-07 19:47:40,666 : INFO : 36 batches submitted to accumulate stats from 2304 documents (902344 virtual) 2019-03-07 19:47:41,081 : INFO : 37 batches submitted to accumulate stats from 2368 documents (929668 virtual) 2019-03-07 19:47:41,157 : INFO : 38 batches submitted to accumulate stats from 2432 documents (959828 virtual) 2019-03-07 19:47:41,396 : INFO : 39 batches submitted to accumulate stats from 2496 documents (991756 virtual) 2019-03-07 19:47:41,803 : INFO : 40 batches submitted to accumulate stats from 2560 documents (1026587 virtual) 2019-03-07 19:47:41,910 : INFO : 41 batches submitted to accumulate stats from 2624 documents (1061081 virtual) 2019-03-07 19:47:42,258 : INFO : 42 batches submitted to accumulate stats from 2688 documents (1093106 virtual) 2019-03-07 19:47:42,478 : INFO : 43 batches submitted to accumulate stats from 2752 documents (1126592 virtual) 2019-03-07 19:47:42,683 : INFO : 44 batches submitted to accumulate stats from 2816 documents (1162607 virtual) 2019-03-07 19:47:43,070 : INFO : 45 batches submitted to accumulate stats from 2880 documents (1204862 virtual) 2019-03-07 19:47:43,401 : INFO : 46 batches submitted to accumulate stats from 2944 documents (1241882 virtual) 2019-03-07 19:47:43,519 : INFO : 47 batches submitted to accumulate stats from 3008 documents (1275371 virtual) 2019-03-07 19:47:43,875 : INFO : 48 batches submitted to accumulate stats from 3072 documents (1304182 virtual) 2019-03-07 19:47:44,148 : INFO : 49 batches submitted to accumulate stats from 3136 documents (1335535 virtual) 2019-03-07 19:47:44,330 : INFO : 50 batches submitted to accumulate stats from 3200 documents (1354412 virtual) 2019-03-07 19:47:44,749 : INFO : 51 batches submitted to accumulate stats from 3264 documents (1375283 virtual) 2019-03-07 19:47:44,959 : INFO : 52 batches submitted to accumulate stats from 3328 documents (1399546 virtual) 2019-03-07 19:47:45,005 : INFO : 53 batches submitted to accumulate stats from 3392 documents (1421974 virtual) 2019-03-07 19:47:45,265 : INFO : 54 batches submitted to accumulate stats from 3456 documents (1444585 virtual) 2019-03-07 19:47:45,383 : INFO : 55 batches submitted to accumulate stats from 3520 documents (1469034 virtual) 2019-03-07 19:47:45,560 : INFO : 56 batches submitted to accumulate stats from 3584 documents (1491037 virtual) 2019-03-07 19:47:45,727 : INFO : 57 batches submitted to accumulate stats from 3648 documents (1504565 virtual) 2019-03-07 19:47:46,430 : INFO : serializing accumulator to return to master... 2019-03-07 19:47:46,483 : INFO : serializing accumulator to return to master... 2019-03-07 19:47:46,441 : INFO : accumulator serialized 2019-03-07 19:47:46,507 : INFO : serializing accumulator to return to master... 2019-03-07 19:47:46,499 : INFO : accumulator serialized 2019-03-07 19:47:46,522 : INFO : accumulator serialized 2019-03-07 19:47:46,588 : INFO : 3 accumulators retrieved from output queue 2019-03-07 19:47:46,602 : INFO : accumulated word occurrence stats for 1505675 virtual documents 2019-03-07 19:47:46,733 : INFO : using symmetric alpha at 0.125 2019-03-07 19:47:46,734 : INFO : using symmetric eta at 0.125 2019-03-07 19:47:46,740 : INFO : using serial LDA version on this node 2019-03-07 19:47:46,750 : INFO : running online (single-pass) LDA training, 8 topics, 1 passes over the supplied corpus of 3701 documents, updating model once every 2000 documents, evaluating perplexity every 3701 documents, iterating 50x with a convergence threshold of 0.001000 2019-03-07 19:47:46,752 : WARNING : too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy 2019-03-07 19:47:46,758 : INFO : PROGRESS: pass 0, at document #2000/3701 2019-03-07 19:47:49,037 : INFO : merging changes from 2000 documents into a model of 3701 documents 2019-03-07 19:47:49,045 : INFO : topic #6 (0.125): 0.006*"data_scientist" + 0.003*"familiarity_with" + 0.003*"artificial_intelligence" + 0.003*"data_mining" + 0.002*"software_development" + 0.002*"pattern_recognition" + 0.002*"bachelor_degree" + 0.002*"problem_solving" + 0.002*"this_role" + 0.002*"software_engineer" 2019-03-07 19:47:49,047 : INFO : topic #2 (0.125): 0.005*"data_scientist" + 0.004*"large_scale" + 0.003*"software_development" + 0.003*"problem_solving" + 0.003*"real_time" + 0.003*"security" + 0.002*"data_mining" + 0.002*"communication_skill" + 0.002*"more_than" + 0.002*"this_role" 2019-03-07 19:47:49,049 : INFO : topic #1 (0.125): 0.004*"data_scientist" + 0.003*"problem_solving" + 0.003*"artificial_intelligence" + 0.003*"this_role" + 0.002*"team_member" + 0.002*"computer_vision" + 0.002*"data_mining" + 0.002*"advanced_analytics" + 0.002*"familiarity_with" + 0.002*"best_practice" 2019-03-07 19:47:49,051 : INFO : topic #5 (0.125): 0.003*"artificial_intelligence" + 0.003*"familiarity_with" + 0.003*"collaborate_with" + 0.002*"data_mining" + 0.002*"enterprise" + 0.002*"communication_skill" + 0.002*"software_engineer" + 0.002*"preferred_qualification" + 0.002*"work_closely" + 0.002*"data_scientist" 2019-03-07 19:47:49,052 : INFO : topic #4 (0.125): 0.003*"data_scientist" + 0.003*"this_role" + 0.003*"data_mining" + 0.003*"pattern_recognition" + 0.002*"cutting_edge" + 0.002*"artificial_intelligence" + 0.002*"team_member" + 0.002*"collaborate_with" + 0.002*"problem_solving" + 0.002*"data_set" 2019-03-07 19:47:49,053 : INFO : topic diff=2.051434, rho=1.000000 2019-03-07 19:47:53,074 : INFO : -9.753 per-word bound, 862.8 perplexity estimate based on a held-out corpus of 1701 documents with 566066 words 2019-03-07 19:47:53,075 : INFO : PROGRESS: pass 0, at document #3701/3701 2019-03-07 19:47:55,117 : INFO : merging changes from 1701 documents into a model of 3701 documents 2019-03-07 19:47:55,124 : INFO : topic #2 (0.125): 0.006*"software_development" + 0.005*"large_scale" + 0.004*"data_scientist" + 0.004*"apache_spark" + 0.004*"software_engineer" + 0.003*"real_time" + 0.003*"apache" + 0.003*"security" + 0.003*"artificial_intelligence" + 0.003*"open_source" 2019-03-07 19:47:55,126 : INFO : topic #5 (0.125): 0.003*"understand_speech" + 0.003*"others" + 0.002*"essential_function" + 0.002*"rule" + 0.002*"related_document" + 0.002*"appropriate" + 0.002*"duty" + 0.002*"equipment" + 0.002*"high_school" + 0.002*"physical" 2019-03-07 19:47:55,127 : INFO : topic #7 (0.125): 0.004*"speech_recognition" + 0.003*"team_member" + 0.003*"collaborate_with" + 0.002*"familiarity_with" + 0.002*"student" + 0.002*"united_state" + 0.002*"this_role" + 0.002*"neural_network" + 0.002*"full_time" + 0.002*"university" 2019-03-07 19:47:55,130 : INFO : topic #1 (0.125): 0.004*"least_year" + 0.004*"data_scientist" + 0.004*"neural_network" + 0.003*"computer_vision" + 0.003*"this_role" + 0.002*"team_member" + 0.002*"advanced_analytics" + 0.002*"marketing" + 0.002*"problem_solving" + 0.002*"preferred_qualification" 2019-03-07 19:47:55,131 : INFO : topic #6 (0.125): 0.005*"data_scientist" + 0.004*"familiarity_with" + 0.004*"artificial_intelligence" + 0.004*"neural_network" + 0.003*"software_development" + 0.002*"data_mining" + 0.002*"computer_vision" + 0.002*"bachelor_degree" + 0.002*"software_engineer" + 0.002*"essential_function" 2019-03-07 19:47:55,133 : INFO : topic diff=1.511047, rho=0.707107 2019-03-07 19:47:55,139 : INFO : using ParallelWordOccurrenceAccumulator(processes=3, batch_size=64) to estimate probabilities from sliding windows 2019-03-07 19:47:55,196 : INFO : 1 batches submitted to accumulate stats from 64 documents (18706 virtual) 2019-03-07 19:47:55,220 : INFO : 2 batches submitted to accumulate stats from 128 documents (42106 virtual) 2019-03-07 19:47:55,243 : INFO : 3 batches submitted to accumulate stats from 192 documents (63817 virtual) 2019-03-07 19:47:55,265 : INFO : 4 batches submitted to accumulate stats from 256 documents (84761 virtual) 2019-03-07 19:47:55,307 : INFO : 5 batches submitted to accumulate stats from 320 documents (108195 virtual) 2019-03-07 19:47:55,331 : INFO : 6 batches submitted to accumulate stats from 384 documents (130402 virtual) 2019-03-07 19:47:55,737 : INFO : 7 batches submitted to accumulate stats from 448 documents (153955 virtual) 2019-03-07 19:47:55,857 : INFO : 8 batches submitted to accumulate stats from 512 documents (177776 virtual) 2019-03-07 19:47:55,902 : INFO : 9 batches submitted to accumulate stats from 576 documents (205367 virtual) 2019-03-07 19:47:56,335 : INFO : 10 batches submitted to accumulate stats from 640 documents (237100 virtual) 2019-03-07 19:47:56,556 : INFO : 11 batches submitted to accumulate stats from 704 documents (267436 virtual) 2019-03-07 19:47:56,597 : INFO : 12 batches submitted to accumulate stats from 768 documents (292241 virtual) 2019-03-07 19:47:57,046 : INFO : 13 batches submitted to accumulate stats from 832 documents (318305 virtual) 2019-03-07 19:47:57,234 : INFO : 14 batches submitted to accumulate stats from 896 documents (345844 virtual) 2019-03-07 19:47:57,421 : INFO : 15 batches submitted to accumulate stats from 960 documents (375448 virtual) 2019-03-07 19:47:57,969 : INFO : 16 batches submitted to accumulate stats from 1024 documents (404877 virtual) 2019-03-07 19:47:58,131 : INFO : 17 batches submitted to accumulate stats from 1088 documents (423822 virtual) 2019-03-07 19:47:58,150 : INFO : 18 batches submitted to accumulate stats from 1152 documents (441578 virtual) 2019-03-07 19:47:58,791 : INFO : 19 batches submitted to accumulate stats from 1216 documents (464964 virtual) 2019-03-07 19:47:58,918 : INFO : 20 batches submitted to accumulate stats from 1280 documents (486115 virtual) 2019-03-07 19:47:59,064 : INFO : 21 batches submitted to accumulate stats from 1344 documents (506058 virtual) 2019-03-07 19:47:59,417 : INFO : 22 batches submitted to accumulate stats from 1408 documents (529977 virtual) 2019-03-07 19:47:59,542 : INFO : 23 batches submitted to accumulate stats from 1472 documents (551466 virtual) 2019-03-07 19:47:59,606 : INFO : 24 batches submitted to accumulate stats from 1536 documents (572164 virtual) 2019-03-07 19:48:00,052 : INFO : 25 batches submitted to accumulate stats from 1600 documents (600251 virtual) 2019-03-07 19:48:00,077 : INFO : 26 batches submitted to accumulate stats from 1664 documents (634853 virtual) 2019-03-07 19:48:00,103 : INFO : 27 batches submitted to accumulate stats from 1728 documents (659104 virtual) 2019-03-07 19:48:00,623 : INFO : 28 batches submitted to accumulate stats from 1792 documents (680668 virtual) 2019-03-07 19:48:00,648 : INFO : 29 batches submitted to accumulate stats from 1856 documents (708607 virtual) 2019-03-07 19:48:00,669 : INFO : 30 batches submitted to accumulate stats from 1920 documents (732038 virtual) 2019-03-07 19:48:01,362 : INFO : 31 batches submitted to accumulate stats from 1984 documents (755009 virtual) 2019-03-07 19:48:01,397 : INFO : 32 batches submitted to accumulate stats from 2048 documents (777959 virtual) 2019-03-07 19:48:01,639 : INFO : 33 batches submitted to accumulate stats from 2112 documents (800435 virtual) 2019-03-07 19:48:01,994 : INFO : 34 batches submitted to accumulate stats from 2176 documents (826998 virtual) 2019-03-07 19:48:02,226 : INFO : 35 batches submitted to accumulate stats from 2240 documents (855041 virtual) 2019-03-07 19:48:02,328 : INFO : 36 batches submitted to accumulate stats from 2304 documents (884218 virtual) 2019-03-07 19:48:02,753 : INFO : 37 batches submitted to accumulate stats from 2368 documents (917361 virtual) 2019-03-07 19:48:02,966 : INFO : 38 batches submitted to accumulate stats from 2432 documents (942608 virtual) 2019-03-07 19:48:03,021 : INFO : 39 batches submitted to accumulate stats from 2496 documents (973182 virtual) 2019-03-07 19:48:03,629 : INFO : 40 batches submitted to accumulate stats from 2560 documents (1005369 virtual) 2019-03-07 19:48:03,895 : INFO : 41 batches submitted to accumulate stats from 2624 documents (1040855 virtual) 2019-03-07 19:48:03,987 : INFO : 42 batches submitted to accumulate stats from 2688 documents (1075715 virtual) 2019-03-07 19:48:04,692 : INFO : 43 batches submitted to accumulate stats from 2752 documents (1106826 virtual) 2019-03-07 19:48:04,763 : INFO : 44 batches submitted to accumulate stats from 2816 documents (1139313 virtual) 2019-03-07 19:48:05,053 : INFO : 45 batches submitted to accumulate stats from 2880 documents (1177340 virtual) 2019-03-07 19:48:05,844 : INFO : 46 batches submitted to accumulate stats from 2944 documents (1219184 virtual) 2019-03-07 19:48:06,029 : INFO : 47 batches submitted to accumulate stats from 3008 documents (1257242 virtual) 2019-03-07 19:48:06,325 : INFO : 48 batches submitted to accumulate stats from 3072 documents (1288297 virtual) 2019-03-07 19:48:06,932 : INFO : 49 batches submitted to accumulate stats from 3136 documents (1318109 virtual) 2019-03-07 19:48:07,109 : INFO : 50 batches submitted to accumulate stats from 3200 documents (1348933 virtual) 2019-03-07 19:48:07,575 : INFO : 51 batches submitted to accumulate stats from 3264 documents (1366662 virtual) 2019-03-07 19:48:08,284 : INFO : 52 batches submitted to accumulate stats from 3328 documents (1386560 virtual) 2019-03-07 19:48:08,312 : INFO : 53 batches submitted to accumulate stats from 3392 documents (1411220 virtual) 2019-03-07 19:48:08,546 : INFO : 54 batches submitted to accumulate stats from 3456 documents (1433282 virtual) 2019-03-07 19:48:09,061 : INFO : 55 batches submitted to accumulate stats from 3520 documents (1456724 virtual) 2019-03-07 19:48:09,179 : INFO : 56 batches submitted to accumulate stats from 3584 documents (1481382 virtual) 2019-03-07 19:48:09,210 : INFO : 57 batches submitted to accumulate stats from 3648 documents (1502379 virtual) 2019-03-07 19:48:09,649 : INFO : 58 batches submitted to accumulate stats from 3712 documents (1518076 virtual) 2019-03-07 19:48:10,451 : INFO : serializing accumulator to return to master... 2019-03-07 19:48:10,463 : INFO : accumulator serialized 2019-03-07 19:48:10,641 : INFO : serializing accumulator to return to master... 2019-03-07 19:48:10,654 : INFO : accumulator serialized 2019-03-07 19:48:10,837 : INFO : serializing accumulator to return to master... 2019-03-07 19:48:10,851 : INFO : accumulator serialized 2019-03-07 19:48:10,914 : INFO : 3 accumulators retrieved from output queue 2019-03-07 19:48:10,953 : INFO : accumulated word occurrence stats for 1519437 virtual documents 2019-03-07 19:48:11,425 : INFO : using symmetric alpha at 0.07142857142857142 2019-03-07 19:48:11,426 : INFO : using symmetric eta at 0.07142857142857142 2019-03-07 19:48:11,428 : INFO : using serial LDA version on this node 2019-03-07 19:48:11,444 : INFO : running online (single-pass) LDA training, 14 topics, 1 passes over the supplied corpus of 3701 documents, updating model once every 2000 documents, evaluating perplexity every 3701 documents, iterating 50x with a convergence threshold of 0.001000 2019-03-07 19:48:11,445 : WARNING : too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy 2019-03-07 19:48:11,450 : INFO : PROGRESS: pass 0, at document #2000/3701 2019-03-07 19:48:14,048 : INFO : merging changes from 2000 documents into a model of 3701 documents 2019-03-07 19:48:14,062 : INFO : topic #11 (0.071): 0.008*"data_scientist" + 0.003*"data_mining" + 0.003*"cross_functional" + 0.002*"this_role" + 0.002*"collaborate_with" + 0.002*"united_state" + 0.002*"familiarity_with" + 0.002*"communication_skill" + 0.002*"data_set" + 0.002*"must_have" 2019-03-07 19:48:14,064 : INFO : topic #3 (0.071): 0.004*"large_scale" + 0.004*"artificial_intelligence" + 0.003*"software_engineer" + 0.003*"data_mining" + 0.003*"best_practice" + 0.003*"problem_solving" + 0.003*"data_scientist" + 0.003*"pattern_recognition" + 0.003*"familiarity_with" + 0.003*"team_member" 2019-03-07 19:48:14,067 : INFO : topic #4 (0.071): 0.003*"data_scientist" + 0.003*"advanced_analytics" + 0.003*"this_role" + 0.003*"large_scale" + 0.003*"communication_skill" + 0.003*"data_set" + 0.003*"data_mining" + 0.003*"software_development" + 0.002*"team_member" + 0.002*"bachelor_degree" 2019-03-07 19:48:14,069 : INFO : topic #5 (0.071): 0.006*"data_scientist" + 0.003*"software_engineer" + 0.003*"data_mining" + 0.003*"data_set" + 0.003*"programming_language" + 0.002*"problem_solving" + 0.002*"team_member" + 0.002*"more_than" + 0.002*"ideal_candidate" + 0.002*"familiarity_with" 2019-03-07 19:48:14,070 : INFO : topic #0 (0.071): 0.005*"data_mining" + 0.004*"data_scientist" + 0.003*"pattern_recognition" + 0.002*"familiarity_with" + 0.002*"data_set" + 0.002*"passionate_about" + 0.002*"cutting_edge" + 0.002*"large_scale" + 0.002*"software_development" + 0.002*"artificial_intelligence" 2019-03-07 19:48:14,072 : INFO : topic diff=2.852250, rho=1.000000 2019-03-07 19:48:18,963 : INFO : -10.348 per-word bound, 1303.0 perplexity estimate based on a held-out corpus of 1701 documents with 566066 words 2019-03-07 19:48:18,964 : INFO : PROGRESS: pass 0, at document #3701/3701 2019-03-07 19:48:21,448 : INFO : merging changes from 1701 documents into a model of 3701 documents 2019-03-07 19:48:21,462 : INFO : topic #9 (0.071): 0.004*"data_scientist" + 0.004*"understand_information" + 0.003*"amazon" + 0.003*"others_understand" + 0.003*"collaborate_with" + 0.003*"team_member" + 0.003*"this_role" + 0.002*"data_set" + 0.002*"problem_solving" + 0.002*"real_time" 2019-03-07 19:48:21,463 : INFO : topic #5 (0.071): 0.007*"data_scientist" + 0.006*"data_set" + 0.005*"neural_network" + 0.004*"data_mining" + 0.003*"apache_spark" + 0.003*"problem_solving" + 0.003*"software_engineer" + 0.003*"decision_tree" + 0.003*"least_year" + 0.002*"team_member" 2019-03-07 19:48:21,465 : INFO : topic #10 (0.071): 0.005*"least_year" + 0.004*"data_scientist" + 0.002*"apache_spark" + 0.002*"communication_skill" + 0.002*"student" + 0.002*"artificial_intelligence" + 0.002*"deloitte" + 0.002*"other_characteristic" + 0.002*"collaborate_with" + 0.002*"open_source" 2019-03-07 19:48:21,467 : INFO : topic #8 (0.071): 0.004*"security" + 0.004*"software_development" + 0.003*"familiarity_with" + 0.003*"must_have" + 0.003*"software_engineer" + 0.003*"data_scientist" + 0.002*"race_color" + 0.002*"apache" + 0.002*"team_member" + 0.002*"apache_spark" 2019-03-07 19:48:21,469 : INFO : topic #7 (0.071): 0.005*"guest_service" + 0.005*"guest" + 0.003*"high_school" + 0.003*"equipment" + 0.003*"essential_function" + 0.003*"others" + 0.003*"customer_worker" + 0.002*"food" + 0.002*"join_star" + 0.002*"unit" 2019-03-07 19:48:21,470 : INFO : topic diff=2.142641, rho=0.707107 2019-03-07 19:48:21,477 : INFO : using ParallelWordOccurrenceAccumulator(processes=3, batch_size=64) to estimate probabilities from sliding windows 2019-03-07 19:48:21,530 : INFO : 1 batches submitted to accumulate stats from 64 documents (18334 virtual) 2019-03-07 19:48:21,552 : INFO : 2 batches submitted to accumulate stats from 128 documents (41389 virtual) 2019-03-07 19:48:21,582 : INFO : 3 batches submitted to accumulate stats from 192 documents (63592 virtual) 2019-03-07 19:48:21,614 : INFO : 4 batches submitted to accumulate stats from 256 documents (84657 virtual) 2019-03-07 19:48:21,645 : INFO : 5 batches submitted to accumulate stats from 320 documents (108307 virtual) 2019-03-07 19:48:21,686 : INFO : 6 batches submitted to accumulate stats from 384 documents (130069 virtual) 2019-03-07 19:48:22,131 : INFO : 7 batches submitted to accumulate stats from 448 documents (153635 virtual) 2019-03-07 19:48:22,270 : INFO : 8 batches submitted to accumulate stats from 512 documents (177582 virtual) 2019-03-07 19:48:22,319 : INFO : 9 batches submitted to accumulate stats from 576 documents (205179 virtual) 2019-03-07 19:48:22,864 : INFO : 10 batches submitted to accumulate stats from 640 documents (236590 virtual) 2019-03-07 19:48:23,057 : INFO : 11 batches submitted to accumulate stats from 704 documents (267459 virtual) 2019-03-07 19:48:23,095 : INFO : 12 batches submitted to accumulate stats from 768 documents (291694 virtual) 2019-03-07 19:48:23,709 : INFO : 13 batches submitted to accumulate stats from 832 documents (318321 virtual) 2019-03-07 19:48:23,959 : INFO : 14 batches submitted to accumulate stats from 896 documents (345563 virtual) 2019-03-07 19:48:24,150 : INFO : 15 batches submitted to accumulate stats from 960 documents (375088 virtual) 2019-03-07 19:48:25,012 : INFO : 16 batches submitted to accumulate stats from 1024 documents (404625 virtual) 2019-03-07 19:48:25,262 : INFO : 17 batches submitted to accumulate stats from 1088 documents (424037 virtual) 2019-03-07 19:48:25,505 : INFO : 18 batches submitted to accumulate stats from 1152 documents (442226 virtual) 2019-03-07 19:48:26,504 : INFO : 19 batches submitted to accumulate stats from 1216 documents (465280 virtual) 2019-03-07 19:48:26,637 : INFO : 20 batches submitted to accumulate stats from 1280 documents (486431 virtual) 2019-03-07 19:48:26,910 : INFO : 21 batches submitted to accumulate stats from 1344 documents (506374 virtual) 2019-03-07 19:48:27,287 : INFO : 22 batches submitted to accumulate stats from 1408 documents (530293 virtual) 2019-03-07 19:48:27,494 : INFO : 23 batches submitted to accumulate stats from 1472 documents (551980 virtual) 2019-03-07 19:48:27,525 : INFO : 24 batches submitted to accumulate stats from 1536 documents (572493 virtual) 2019-03-07 19:48:28,191 : INFO : 25 batches submitted to accumulate stats from 1600 documents (599823 virtual) 2019-03-07 19:48:28,316 : INFO : 26 batches submitted to accumulate stats from 1664 documents (634886 virtual) 2019-03-07 19:48:28,338 : INFO : 27 batches submitted to accumulate stats from 1728 documents (658988 virtual) 2019-03-07 19:48:29,089 : INFO : 28 batches submitted to accumulate stats from 1792 documents (680510 virtual) 2019-03-07 19:48:29,163 : INFO : 29 batches submitted to accumulate stats from 1856 documents (708443 virtual) 2019-03-07 19:48:29,189 : INFO : 30 batches submitted to accumulate stats from 1920 documents (731971 virtual) 2019-03-07 19:48:30,485 : INFO : 31 batches submitted to accumulate stats from 1984 documents (754925 virtual) 2019-03-07 19:48:30,510 : INFO : 32 batches submitted to accumulate stats from 2048 documents (777539 virtual) 2019-03-07 19:48:30,772 : INFO : 33 batches submitted to accumulate stats from 2112 documents (800125 virtual) 2019-03-07 19:48:31,373 : INFO : 34 batches submitted to accumulate stats from 2176 documents (826798 virtual) 2019-03-07 19:48:31,609 : INFO : 35 batches submitted to accumulate stats from 2240 documents (854631 virtual) 2019-03-07 19:48:31,704 : INFO : 36 batches submitted to accumulate stats from 2304 documents (883952 virtual) 2019-03-07 19:48:32,410 : INFO : 37 batches submitted to accumulate stats from 2368 documents (916999 virtual) 2019-03-07 19:48:32,654 : INFO : 38 batches submitted to accumulate stats from 2432 documents (942554 virtual) 2019-03-07 19:48:32,798 : INFO : 39 batches submitted to accumulate stats from 2496 documents (972771 virtual) 2019-03-07 19:48:33,467 : INFO : 40 batches submitted to accumulate stats from 2560 documents (1004468 virtual) 2019-03-07 19:48:33,770 : INFO : 41 batches submitted to accumulate stats from 2624 documents (1040835 virtual) 2019-03-07 19:48:33,887 : INFO : 42 batches submitted to accumulate stats from 2688 documents (1074887 virtual) 2019-03-07 19:48:34,675 : INFO : 43 batches submitted to accumulate stats from 2752 documents (1105952 virtual) 2019-03-07 19:48:34,718 : INFO : 44 batches submitted to accumulate stats from 2816 documents (1139055 virtual) 2019-03-07 19:48:35,178 : INFO : 45 batches submitted to accumulate stats from 2880 documents (1177192 virtual) 2019-03-07 19:48:35,972 : INFO : 46 batches submitted to accumulate stats from 2944 documents (1219179 virtual) 2019-03-07 19:48:36,169 : INFO : 47 batches submitted to accumulate stats from 3008 documents (1256977 virtual) 2019-03-07 19:48:36,537 : INFO : 48 batches submitted to accumulate stats from 3072 documents (1288254 virtual) 2019-03-07 19:48:37,176 : INFO : 49 batches submitted to accumulate stats from 3136 documents (1317817 virtual) 2019-03-07 19:48:37,528 : INFO : 50 batches submitted to accumulate stats from 3200 documents (1348735 virtual) 2019-03-07 19:48:38,231 : INFO : 51 batches submitted to accumulate stats from 3264 documents (1366791 virtual) 2019-03-07 19:48:39,007 : INFO : 52 batches submitted to accumulate stats from 3328 documents (1386456 virtual) 2019-03-07 19:48:39,052 : INFO : 53 batches submitted to accumulate stats from 3392 documents (1411053 virtual) 2019-03-07 19:48:39,501 : INFO : 54 batches submitted to accumulate stats from 3456 documents (1433098 virtual) 2019-03-07 19:48:40,017 : INFO : 55 batches submitted to accumulate stats from 3520 documents (1456535 virtual) 2019-03-07 19:48:40,132 : INFO : 56 batches submitted to accumulate stats from 3584 documents (1481167 virtual) 2019-03-07 19:48:40,153 : INFO : 57 batches submitted to accumulate stats from 3648 documents (1502241 virtual) 2019-03-07 19:48:40,628 : INFO : 58 batches submitted to accumulate stats from 3712 documents (1518228 virtual) 2019-03-07 19:48:41,489 : INFO : serializing accumulator to return to master... 2019-03-07 19:48:41,505 : INFO : accumulator serialized 2019-03-07 19:48:41,618 : INFO : serializing accumulator to return to master... 2019-03-07 19:48:41,630 : INFO : accumulator serialized 2019-03-07 19:48:41,810 : INFO : serializing accumulator to return to master... 2019-03-07 19:48:41,821 : INFO : accumulator serialized 2019-03-07 19:48:41,879 : INFO : 3 accumulators retrieved from output queue 2019-03-07 19:48:41,930 : INFO : accumulated word occurrence stats for 1519575 virtual documents 2019-03-07 19:48:42,568 : INFO : using symmetric alpha at 0.05 2019-03-07 19:48:42,569 : INFO : using symmetric eta at 0.05 2019-03-07 19:48:42,571 : INFO : using serial LDA version on this node 2019-03-07 19:48:42,593 : INFO : running online (single-pass) LDA training, 20 topics, 1 passes over the supplied corpus of 3701 documents, updating model once every 2000 documents, evaluating perplexity every 3701 documents, iterating 50x with a convergence threshold of 0.001000 2019-03-07 19:48:42,594 : WARNING : too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy 2019-03-07 19:48:42,598 : INFO : PROGRESS: pass 0, at document #2000/3701 2019-03-07 19:48:45,065 : INFO : merging changes from 2000 documents into a model of 3701 documents 2019-03-07 19:48:45,082 : INFO : topic #0 (0.050): 0.006*"data_scientist" + 0.006*"software_development" + 0.004*"artificial_intelligence" + 0.003*"apache_spark" + 0.003*"team_member" + 0.003*"collaborate_with" + 0.003*"cross_functional" + 0.003*"more_than" + 0.003*"this_role" + 0.002*"problem_solving" 2019-03-07 19:48:45,083 : INFO : topic #14 (0.050): 0.004*"data_scientist" + 0.003*"pattern_recognition" + 0.003*"software_development" + 0.003*"more_than" + 0.003*"best_practice" + 0.002*"data_mining" + 0.002*"high_quality" + 0.002*"familiarity_with" + 0.002*"large_scale" + 0.002*"risk" 2019-03-07 19:48:45,084 : INFO : topic #6 (0.050): 0.005*"data_scientist" + 0.003*"data_set" + 0.003*"security" + 0.003*"problem_solving" + 0.002*"large_scale" + 0.002*"decision_making" + 0.002*"this_role" + 0.002*"analytic" + 0.002*"internal_external" + 0.002*"communication_skill" 2019-03-07 19:48:45,087 : INFO : topic #16 (0.050): 0.003*"data_scientist" + 0.003*"signal_processing" + 0.003*"team_member" + 0.003*"artificial_intelligence" + 0.002*"pattern_recognition" + 0.002*"real_world" + 0.002*"cutting_edge" + 0.002*"statistical_analysis" + 0.002*"this_role" + 0.002*"large_scale" 2019-03-07 19:48:45,088 : INFO : topic #11 (0.050): 0.003*"data_scientist" + 0.003*"large_scale" + 0.003*"problem_solving" + 0.003*"data_set" + 0.003*"preferred_qualification" + 0.002*"artificial_intelligence" + 0.002*"communication_skill" + 0.002*"familiarity_with" + 0.002*"text_mining" + 0.002*"text" 2019-03-07 19:48:45,090 : INFO : topic diff=3.842163, rho=1.000000 2019-03-07 19:48:49,010 : INFO : -10.925 per-word bound, 1944.8 perplexity estimate based on a held-out corpus of 1701 documents with 566066 words 2019-03-07 19:48:49,011 : INFO : PROGRESS: pass 0, at document #3701/3701 2019-03-07 19:48:51,676 : INFO : merging changes from 1701 documents into a model of 3701 documents 2019-03-07 19:48:51,704 : INFO : topic #11 (0.050): 0.005*"understanding_implication" + 0.004*"understand_speech" + 0.004*"neural_network" + 0.003*"problem_solving" + 0.003*"data_scientist" + 0.003*"data_set" + 0.003*"preferred_qualification" + 0.003*"communication_skill" + 0.002*"minimum_year" + 0.002*"predictive_modeling" 2019-03-07 19:48:51,706 : INFO : topic #4 (0.050): 0.005*"familiarity_with" + 0.004*"data_scientist" + 0.004*"neural_network" + 0.003*"information_form" + 0.003*"protected_veteran" + 0.003*"artificial_intelligence" + 0.003*"data_mining" + 0.002*"candidate_will" + 0.002*"software_development" + 0.002*"data_set" 2019-03-07 19:48:51,711 : INFO : topic #19 (0.050): 0.005*"familiarity_with" + 0.004*"team_member" + 0.003*"person_centered" + 0.003*"equipment_used" + 0.003*"data_scientist" + 0.003*"collaborate_with" + 0.003*"marketing" + 0.002*"least_year" + 0.002*"best_practice" + 0.002*"financial" 2019-03-07 19:48:51,713 : INFO : topic #13 (0.050): 0.005*"familiarity_with" + 0.004*"neural_network" + 0.003*"data_scientist" + 0.003*"this_role" + 0.003*"collaborate_with" + 0.002*"physician" + 0.002*"least_year" + 0.002*"best_practice" + 0.002*"guest" + 0.002*"must_have" 2019-03-07 19:48:51,715 : INFO : topic #18 (0.050): 0.004*"wrong" + 0.004*"familiarity_with" + 0.003*"collaborate_with" + 0.003*"this_role" + 0.003*"speech_recognition" + 0.003*"without_regard" + 0.003*"sale" + 0.002*"data_scientist" + 0.002*"work_closely" + 0.002*"data_mining" 2019-03-07 19:48:51,718 : INFO : topic diff=2.839586, rho=0.707107 2019-03-07 19:48:51,734 : INFO : using ParallelWordOccurrenceAccumulator(processes=3, batch_size=64) to estimate probabilities from sliding windows 2019-03-07 19:48:51,815 : INFO : 1 batches submitted to accumulate stats from 64 documents (18134 virtual) 2019-03-07 19:48:51,848 : INFO : 2 batches submitted to accumulate stats from 128 documents (40897 virtual) 2019-03-07 19:48:51,898 : INFO : 3 batches submitted to accumulate stats from 192 documents (62711 virtual) 2019-03-07 19:48:51,961 : INFO : 4 batches submitted to accumulate stats from 256 documents (83886 virtual) 2019-03-07 19:48:51,996 : INFO : 5 batches submitted to accumulate stats from 320 documents (107727 virtual) 2019-03-07 19:48:52,030 : INFO : 6 batches submitted to accumulate stats from 384 documents (129683 virtual) 2019-03-07 19:48:52,604 : INFO : 7 batches submitted to accumulate stats from 448 documents (152868 virtual) 2019-03-07 19:48:52,877 : INFO : 8 batches submitted to accumulate stats from 512 documents (176850 virtual) 2019-03-07 19:48:52,901 : INFO : 9 batches submitted to accumulate stats from 576 documents (203860 virtual) 2019-03-07 19:48:53,534 : INFO : 10 batches submitted to accumulate stats from 640 documents (235381 virtual) 2019-03-07 19:48:53,770 : INFO : 11 batches submitted to accumulate stats from 704 documents (266652 virtual) 2019-03-07 19:48:53,864 : INFO : 12 batches submitted to accumulate stats from 768 documents (290442 virtual) 2019-03-07 19:48:54,499 : INFO : 13 batches submitted to accumulate stats from 832 documents (317525 virtual) 2019-03-07 19:48:54,756 : INFO : 14 batches submitted to accumulate stats from 896 documents (344765 virtual) 2019-03-07 19:48:55,194 : INFO : 15 batches submitted to accumulate stats from 960 documents (374404 virtual) 2019-03-07 19:48:55,946 : INFO : 16 batches submitted to accumulate stats from 1024 documents (404131 virtual) 2019-03-07 19:48:56,240 : INFO : 17 batches submitted to accumulate stats from 1088 documents (423568 virtual) 2019-03-07 19:48:56,311 : INFO : 18 batches submitted to accumulate stats from 1152 documents (440100 virtual) 2019-03-07 19:48:57,345 : INFO : 19 batches submitted to accumulate stats from 1216 documents (463568 virtual) 2019-03-07 19:48:57,691 : INFO : 20 batches submitted to accumulate stats from 1280 documents (485451 virtual) 2019-03-07 19:48:57,825 : INFO : 21 batches submitted to accumulate stats from 1344 documents (505376 virtual) 2019-03-07 19:48:58,468 : INFO : 22 batches submitted to accumulate stats from 1408 documents (529080 virtual) 2019-03-07 19:48:58,513 : INFO : 23 batches submitted to accumulate stats from 1472 documents (550126 virtual) 2019-03-07 19:48:58,724 : INFO : 24 batches submitted to accumulate stats from 1536 documents (571495 virtual) 2019-03-07 19:48:59,336 : INFO : 25 batches submitted to accumulate stats from 1600 documents (595880 virtual) 2019-03-07 19:48:59,402 : INFO : 26 batches submitted to accumulate stats from 1664 documents (632029 virtual) 2019-03-07 19:48:59,472 : INFO : 27 batches submitted to accumulate stats from 1728 documents (657603 virtual) 2019-03-07 19:49:00,614 : INFO : 28 batches submitted to accumulate stats from 1792 documents (678517 virtual) 2019-03-07 19:49:00,650 : INFO : 29 batches submitted to accumulate stats from 1856 documents (705750 virtual) 2019-03-07 19:49:00,815 : INFO : 30 batches submitted to accumulate stats from 1920 documents (729497 virtual) 2019-03-07 19:49:02,259 : INFO : 31 batches submitted to accumulate stats from 1984 documents (751920 virtual) 2019-03-07 19:49:02,661 : INFO : 32 batches submitted to accumulate stats from 2048 documents (775369 virtual) 2019-03-07 19:49:03,061 : INFO : 33 batches submitted to accumulate stats from 2112 documents (797916 virtual) 2019-03-07 19:49:03,316 : INFO : 34 batches submitted to accumulate stats from 2176 documents (824459 virtual) 2019-03-07 19:49:03,801 : INFO : 35 batches submitted to accumulate stats from 2240 documents (852674 virtual) 2019-03-07 19:49:03,985 : INFO : 36 batches submitted to accumulate stats from 2304 documents (881014 virtual) 2019-03-07 19:49:04,210 : INFO : 37 batches submitted to accumulate stats from 2368 documents (912556 virtual) 2019-03-07 19:49:04,785 : INFO : 38 batches submitted to accumulate stats from 2432 documents (940581 virtual) 2019-03-07 19:49:04,896 : INFO : 39 batches submitted to accumulate stats from 2496 documents (970763 virtual) 2019-03-07 19:49:05,510 : INFO : 40 batches submitted to accumulate stats from 2560 documents (1001513 virtual) 2019-03-07 19:49:06,045 : INFO : 41 batches submitted to accumulate stats from 2624 documents (1035985 virtual) 2019-03-07 19:49:06,171 : INFO : 42 batches submitted to accumulate stats from 2688 documents (1071126 virtual) 2019-03-07 19:49:07,022 : INFO : 43 batches submitted to accumulate stats from 2752 documents (1103187 virtual) 2019-03-07 19:49:08,264 : INFO : 44 batches submitted to accumulate stats from 2816 documents (1137271 virtual) 2019-03-07 19:49:09,467 : INFO : 45 batches submitted to accumulate stats from 2880 documents (1173681 virtual) 2019-03-07 19:49:10,248 : INFO : 46 batches submitted to accumulate stats from 2944 documents (1214619 virtual) 2019-03-07 19:49:11,513 : INFO : 47 batches submitted to accumulate stats from 3008 documents (1252757 virtual) 2019-03-07 19:49:12,180 : INFO : 48 batches submitted to accumulate stats from 3072 documents (1285905 virtual) 2019-03-07 19:49:12,775 : INFO : 49 batches submitted to accumulate stats from 3136 documents (1314593 virtual) 2019-03-07 19:49:13,561 : INFO : 50 batches submitted to accumulate stats from 3200 documents (1346166 virtual) 2019-03-07 19:49:14,226 : INFO : 51 batches submitted to accumulate stats from 3264 documents (1364900 virtual) 2019-03-07 19:49:15,019 : INFO : 52 batches submitted to accumulate stats from 3328 documents (1384334 virtual) 2019-03-07 19:49:15,323 : INFO : 53 batches submitted to accumulate stats from 3392 documents (1408543 virtual) 2019-03-07 19:49:15,793 : INFO : 54 batches submitted to accumulate stats from 3456 documents (1430852 virtual) 2019-03-07 19:49:16,259 : INFO : 55 batches submitted to accumulate stats from 3520 documents (1454429 virtual) 2019-03-07 19:49:16,607 : INFO : 56 batches submitted to accumulate stats from 3584 documents (1479182 virtual) 2019-03-07 19:49:16,737 : INFO : 57 batches submitted to accumulate stats from 3648 documents (1499202 virtual) 2019-03-07 19:49:17,091 : INFO : 58 batches submitted to accumulate stats from 3712 documents (1518532 virtual) 2019-03-07 19:49:18,794 : INFO : serializing accumulator to return to master... 2019-03-07 19:49:18,834 : INFO : accumulator serialized 2019-03-07 19:49:19,030 : INFO : serializing accumulator to return to master... 2019-03-07 19:49:19,044 : INFO : accumulator serialized 2019-03-07 19:49:19,226 : INFO : serializing accumulator to return to master... 2019-03-07 19:49:19,240 : INFO : accumulator serialized 2019-03-07 19:49:19,342 : INFO : 3 accumulators retrieved from output queue 2019-03-07 19:49:19,469 : INFO : accumulated word occurrence stats for 1519949 virtual documents 2019-03-07 19:49:20,846 : INFO : using symmetric alpha at 0.038461538461538464 2019-03-07 19:49:20,847 : INFO : using symmetric eta at 0.038461538461538464 2019-03-07 19:49:20,849 : INFO : using serial LDA version on this node 2019-03-07 19:49:20,879 : INFO : running online (single-pass) LDA training, 26 topics, 1 passes over the supplied corpus of 3701 documents, updating model once every 2000 documents, evaluating perplexity every 3701 documents, iterating 50x with a convergence threshold of 0.001000 2019-03-07 19:49:20,880 : WARNING : too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy 2019-03-07 19:49:20,885 : INFO : PROGRESS: pass 0, at document #2000/3701 2019-03-07 19:49:23,556 : INFO : merging changes from 2000 documents into a model of 3701 documents 2019-03-07 19:49:23,579 : INFO : topic #0 (0.038): 0.006*"data_scientist" + 0.003*"artificial_intelligence" + 0.003*"large_scale" + 0.003*"security" + 0.002*"software_engineer" + 0.002*"collaborate_with" + 0.002*"data_mining" + 0.002*"team_member" + 0.002*"work_closely" + 0.002*"gender_identity" 2019-03-07 19:49:23,581 : INFO : topic #18 (0.038): 0.004*"artificial_intelligence" + 0.004*"large_scale" + 0.004*"software_development" + 0.003*"familiarity_with" + 0.003*"cutting_edge" + 0.003*"data_scientist" + 0.003*"problem_solving" + 0.002*"best_practice" + 0.002*"software_engineer" + 0.002*"data_set" 2019-03-07 19:49:23,582 : INFO : topic #17 (0.038): 0.007*"familiarity_with" + 0.003*"pattern_recognition" + 0.003*"data_scientist" + 0.003*"collaborate_with" + 0.003*"team_member" + 0.003*"large_scale" + 0.002*"data_mining" + 0.002*"open_source" + 0.002*"artificial_intelligence" + 0.002*"familiarity" 2019-03-07 19:49:23,584 : INFO : topic #3 (0.038): 0.004*"google" + 0.004*"software_development" + 0.003*"artificial_intelligence" + 0.003*"apache_spark" + 0.003*"bachelor_degree" + 0.003*"apache" + 0.003*"advanced_analytics" + 0.003*"data_scientist" + 0.003*"data_mining" + 0.002*"learn_more" 2019-03-07 19:49:23,586 : INFO : topic #7 (0.038): 0.005*"data_scientist" + 0.004*"this_role" + 0.003*"artificial_intelligence" + 0.003*"signal_processing" + 0.003*"familiarity_with" + 0.003*"large_scale" + 0.002*"cross_functional" + 0.002*"communication_skill" + 0.002*"advanced_analytics" + 0.002*"problem_solving" 2019-03-07 19:49:23,589 : INFO : topic diff=5.006651, rho=1.000000 2019-03-07 19:49:27,917 : INFO : -11.526 per-word bound, 2948.1 perplexity estimate based on a held-out corpus of 1701 documents with 566066 words 2019-03-07 19:49:27,918 : INFO : PROGRESS: pass 0, at document #3701/3701 2019-03-07 19:49:30,507 : INFO : merging changes from 1701 documents into a model of 3701 documents 2019-03-07 19:49:30,537 : INFO : topic #4 (0.038): 0.006*"speech_recognition" + 0.003*"long_term" + 0.003*"amazon" + 0.003*"sale" + 0.003*"cross_functional" + 0.003*"large_scale" + 0.003*"understanding_implication" + 0.002*"problem_solving" + 0.002*"work_closely" + 0.002*"health" 2019-03-07 19:49:30,539 : INFO : topic #25 (0.038): 0.005*"data_scientist" + 0.005*"neural_network" + 0.005*"data_mining" + 0.003*"familiarity_with" + 0.003*"team_member" + 0.003*"must_have" + 0.003*"this_role" + 0.003*"data_set" + 0.003*"master_degree" + 0.002*"bachelor_degree" 2019-03-07 19:49:30,543 : INFO : topic #14 (0.038): 0.003*"artificial_intelligence" + 0.003*"student" + 0.003*"collaborate_with" + 0.003*"equipment" + 0.003*"real_time" + 0.002*"security" + 0.002*"software_development" + 0.002*"best_practice" + 0.002*"issue" + 0.002*"apache_spark" 2019-03-07 19:49:30,546 : INFO : topic #1 (0.038): 0.007*"data_scientist" + 0.004*"collaborate_with" + 0.003*"apache_spark" + 0.003*"familiarity_with" + 0.003*"bachelor_degree" + 0.003*"more_than" + 0.003*"risk" + 0.003*"data_warehouse" + 0.003*"data_set" + 0.002*"least_year" 2019-03-07 19:49:30,553 : INFO : topic #24 (0.038): 0.009*"least_year" + 0.007*"neural_network" + 0.007*"computer_vision" + 0.005*"clinical" + 0.003*"least" + 0.003*"software_development" + 0.003*"care" + 0.002*"programming_language" + 0.002*"image" + 0.002*"essential_function" 2019-03-07 19:49:30,558 : INFO : topic diff=3.623421, rho=0.707107 2019-03-07 19:49:30,575 : INFO : using ParallelWordOccurrenceAccumulator(processes=3, batch_size=64) to estimate probabilities from sliding windows 2019-03-07 19:49:30,653 : INFO : 1 batches submitted to accumulate stats from 64 documents (18134 virtual) 2019-03-07 19:49:30,688 : INFO : 2 batches submitted to accumulate stats from 128 documents (40897 virtual) 2019-03-07 19:49:30,726 : INFO : 3 batches submitted to accumulate stats from 192 documents (62711 virtual) 2019-03-07 19:49:30,798 : INFO : 4 batches submitted to accumulate stats from 256 documents (83886 virtual) 2019-03-07 19:49:30,831 : INFO : 5 batches submitted to accumulate stats from 320 documents (107727 virtual) 2019-03-07 19:49:30,865 : INFO : 6 batches submitted to accumulate stats from 384 documents (129683 virtual) 2019-03-07 19:49:32,284 : INFO : 7 batches submitted to accumulate stats from 448 documents (152868 virtual) 2019-03-07 19:49:32,551 : INFO : 8 batches submitted to accumulate stats from 512 documents (176437 virtual) 2019-03-07 19:49:32,638 : INFO : 9 batches submitted to accumulate stats from 576 documents (203652 virtual) 2019-03-07 19:49:33,694 : INFO : 10 batches submitted to accumulate stats from 640 documents (234947 virtual) 2019-03-07 19:49:34,403 : INFO : 11 batches submitted to accumulate stats from 704 documents (266500 virtual) 2019-03-07 19:49:34,563 : INFO : 12 batches submitted to accumulate stats from 768 documents (290130 virtual) 2019-03-07 19:49:35,967 : INFO : 13 batches submitted to accumulate stats from 832 documents (316871 virtual) 2019-03-07 19:49:36,941 : INFO : 14 batches submitted to accumulate stats from 896 documents (344521 virtual) 2019-03-07 19:49:37,973 : INFO : 15 batches submitted to accumulate stats from 960 documents (374040 virtual) 2019-03-07 19:49:39,979 : INFO : 16 batches submitted to accumulate stats from 1024 documents (403835 virtual) 2019-03-07 19:49:40,838 : INFO : 17 batches submitted to accumulate stats from 1088 documents (422943 virtual) 2019-03-07 19:49:40,891 : INFO : 18 batches submitted to accumulate stats from 1152 documents (439725 virtual) 2019-03-07 19:49:44,711 : INFO : 19 batches submitted to accumulate stats from 1216 documents (462836 virtual) 2019-03-07 19:49:46,427 : INFO : 20 batches submitted to accumulate stats from 1280 documents (484636 virtual) 2019-03-07 19:49:47,055 : INFO : 21 batches submitted to accumulate stats from 1344 documents (504608 virtual) 2019-03-07 19:49:49,155 : INFO : 22 batches submitted to accumulate stats from 1408 documents (528374 virtual) 2019-03-07 19:49:49,210 : INFO : 23 batches submitted to accumulate stats from 1472 documents (549388 virtual) 2019-03-07 19:49:49,722 : INFO : 24 batches submitted to accumulate stats from 1536 documents (570913 virtual) 2019-03-07 19:49:50,963 : INFO : 25 batches submitted to accumulate stats from 1600 documents (594934 virtual) 2019-03-07 19:49:51,065 : INFO : 26 batches submitted to accumulate stats from 1664 documents (630169 virtual) 2019-03-07 19:49:51,207 : INFO : 27 batches submitted to accumulate stats from 1728 documents (656337 virtual) 2019-03-07 19:49:52,989 : INFO : 28 batches submitted to accumulate stats from 1792 documents (677545 virtual) 2019-03-07 19:49:53,056 : INFO : 29 batches submitted to accumulate stats from 1856 documents (704525 virtual) 2019-03-07 19:49:53,279 : INFO : 30 batches submitted to accumulate stats from 1920 documents (728932 virtual) 2019-03-07 19:49:55,500 : INFO : 31 batches submitted to accumulate stats from 1984 documents (750986 virtual) 2019-03-07 19:49:56,375 : INFO : 32 batches submitted to accumulate stats from 2048 documents (774155 virtual) 2019-03-07 19:49:56,849 : INFO : 33 batches submitted to accumulate stats from 2112 documents (796587 virtual) 2019-03-07 19:49:57,497 : INFO : 34 batches submitted to accumulate stats from 2176 documents (823036 virtual) 2019-03-07 19:49:58,886 : INFO : 35 batches submitted to accumulate stats from 2240 documents (850892 virtual) 2019-03-07 19:49:59,144 : INFO : 36 batches submitted to accumulate stats from 2304 documents (880293 virtual) 2019-03-07 19:49:59,959 : INFO : 37 batches submitted to accumulate stats from 2368 documents (911134 virtual) 2019-03-07 19:50:00,703 : INFO : 38 batches submitted to accumulate stats from 2432 documents (938634 virtual) 2019-03-07 19:50:00,752 : INFO : 39 batches submitted to accumulate stats from 2496 documents (967914 virtual) 2019-03-07 19:50:01,575 : INFO : 40 batches submitted to accumulate stats from 2560 documents (999999 virtual) 2019-03-07 19:50:02,561 : INFO : 41 batches submitted to accumulate stats from 2624 documents (1034738 virtual) 2019-03-07 19:50:02,751 : INFO : 42 batches submitted to accumulate stats from 2688 documents (1069590 virtual) 2019-03-07 19:50:04,904 : INFO : 43 batches submitted to accumulate stats from 2752 documents (1101383 virtual) 2019-03-07 19:50:06,401 : INFO : 44 batches submitted to accumulate stats from 2816 documents (1136126 virtual) 2019-03-07 19:50:07,065 : INFO : 45 batches submitted to accumulate stats from 2880 documents (1171728 virtual) 2019-03-07 19:50:07,946 : INFO : 46 batches submitted to accumulate stats from 2944 documents (1213166 virtual) 2019-03-07 19:50:08,792 : INFO : 47 batches submitted to accumulate stats from 3008 documents (1251306 virtual) 2019-03-07 19:50:09,700 : INFO : 48 batches submitted to accumulate stats from 3072 documents (1284269 virtual) 2019-03-07 19:50:10,987 : INFO : 49 batches submitted to accumulate stats from 3136 documents (1313164 virtual) 2019-03-07 19:50:12,487 : INFO : 50 batches submitted to accumulate stats from 3200 documents (1344280 virtual) 2019-03-07 19:50:13,192 : INFO : 51 batches submitted to accumulate stats from 3264 documents (1364436 virtual) 2019-03-07 19:50:14,188 : INFO : 52 batches submitted to accumulate stats from 3328 documents (1382945 virtual) 2019-03-07 19:50:15,260 : INFO : 53 batches submitted to accumulate stats from 3392 documents (1407211 virtual) 2019-03-07 19:50:15,487 : INFO : 54 batches submitted to accumulate stats from 3456 documents (1429348 virtual) 2019-03-07 19:50:16,134 : INFO : 55 batches submitted to accumulate stats from 3520 documents (1453207 virtual) 2019-03-07 19:50:16,506 : INFO : 56 batches submitted to accumulate stats from 3584 documents (1477137 virtual) 2019-03-07 19:50:16,848 : INFO : 57 batches submitted to accumulate stats from 3648 documents (1497155 virtual) 2019-03-07 19:50:16,924 : INFO : 58 batches submitted to accumulate stats from 3712 documents (1518406 virtual) 2019-03-07 19:50:18,641 : INFO : serializing accumulator to return to master... 2019-03-07 19:50:18,658 : INFO : accumulator serialized 2019-03-07 19:50:18,864 : INFO : serializing accumulator to return to master... 2019-03-07 19:50:18,892 : INFO : accumulator serialized 2019-03-07 19:50:19,067 : INFO : serializing accumulator to return to master... 2019-03-07 19:50:19,087 : INFO : accumulator serialized 2019-03-07 19:50:19,221 : INFO : 3 accumulators retrieved from output queue 2019-03-07 19:50:19,357 : INFO : accumulated word occurrence stats for 1519952 virtual documents 2019-03-07 19:50:21,045 : INFO : using symmetric alpha at 0.03125 2019-03-07 19:50:21,047 : INFO : using symmetric eta at 0.03125 2019-03-07 19:50:21,050 : INFO : using serial LDA version on this node 2019-03-07 19:50:21,091 : INFO : running online (single-pass) LDA training, 32 topics, 1 passes over the supplied corpus of 3701 documents, updating model once every 2000 documents, evaluating perplexity every 3701 documents, iterating 50x with a convergence threshold of 0.001000 2019-03-07 19:50:21,093 : WARNING : too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy 2019-03-07 19:50:21,110 : INFO : PROGRESS: pass 0, at document #2000/3701 2019-03-07 19:50:26,375 : INFO : merging changes from 2000 documents into a model of 3701 documents 2019-03-07 19:50:26,416 : INFO : topic #29 (0.031): 0.005*"data_scientist" + 0.004*"this_role" + 0.004*"security" + 0.003*"computer_vision" + 0.003*"work_closely" + 0.003*"artificial_intelligence" + 0.002*"passionate_about" + 0.002*"gender_identity" + 0.002*"data_mining" + 0.002*"large_scale" 2019-03-07 19:50:26,419 : INFO : topic #25 (0.031): 0.005*"data_scientist" + 0.004*"team_member" + 0.003*"data_set" + 0.002*"data_collection" + 0.002*"more_than" + 0.002*"supply_chain" + 0.002*"cross_functional" + 0.002*"data_mining" + 0.002*"enterprise" + 0.002*"communication_skill" 2019-03-07 19:50:26,421 : INFO : topic #18 (0.031): 0.004*"data_mining" + 0.003*"pattern_recognition" + 0.003*"data_set" + 0.003*"least_year" + 0.003*"data_scientist" + 0.003*"large_scale" + 0.003*"software_development" + 0.002*"gender_identity" + 0.002*"artificial_intelligence" + 0.002*"this_role" 2019-03-07 19:50:26,427 : INFO : topic #24 (0.031): 0.006*"software_development" + 0.003*"familiarity_with" + 0.003*"apache_spark" + 0.003*"cutting_edge" + 0.003*"data_scientist" + 0.003*"team_member" + 0.003*"collaborate_with" + 0.003*"this_role" + 0.002*"large_scale" + 0.002*"least_year" 2019-03-07 19:50:26,431 : INFO : topic #22 (0.031): 0.004*"data_scientist" + 0.004*"health" + 0.003*"familiarity_with" + 0.003*"university" + 0.002*"three_year" + 0.002*"data_mining" + 0.002*"clinical" + 0.002*"collaborate_with" + 0.002*"health_care" + 0.002*"data_set" 2019-03-07 19:50:26,433 : INFO : topic diff=6.399735, rho=1.000000 2019-03-07 19:50:34,025 : INFO : -12.115 per-word bound, 4436.2 perplexity estimate based on a held-out corpus of 1701 documents with 566066 words 2019-03-07 19:50:34,026 : INFO : PROGRESS: pass 0, at document #3701/3701 2019-03-07 19:50:36,520 : INFO : merging changes from 1701 documents into a model of 3701 documents 2019-03-07 19:50:36,548 : INFO : topic #17 (0.031): 0.007*"data_set" + 0.007*"understanding_implication" + 0.006*"neural_network" + 0.005*"familiarity_with" + 0.004*"large_scale" + 0.003*"open_source" + 0.003*"artificial_intelligence" + 0.003*"contact_center" + 0.003*"set" + 0.003*"least_year" 2019-03-07 19:50:36,549 : INFO : topic #14 (0.031): 0.004*"software_development" + 0.003*"lockheed_martin" + 0.003*"computer_vision" + 0.003*"signal_processing" + 0.003*"basic_qualification" + 0.003*"full_time" + 0.003*"software_engineer" + 0.003*"collaborate_with" + 0.003*"martin" + 0.003*"lockheed" 2019-03-07 19:50:36,551 : INFO : topic #20 (0.031): 0.016*"understand_speech" + 0.007*"automatic_speech" + 0.005*"speech_recognition" + 0.003*"artificial_intelligence" + 0.002*"large_scale" + 0.002*"contact_center" + 0.002*"problem_solving" + 0.002*"center" + 0.002*"track_record" + 0.002*"candidate_will" 2019-03-07 19:50:36,553 : INFO : topic #9 (0.031): 0.006*"person_centered" + 0.006*"data_set" + 0.004*"data_mining" + 0.004*"neural_network" + 0.004*"data_scientist" + 0.003*"bachelor_degree" + 0.003*"procedure" + 0.003*"internal_external" + 0.003*"improvement" + 0.003*"physical_presence" 2019-03-07 19:50:36,555 : INFO : topic #12 (0.031): 0.004*"cutting_edge" + 0.004*"artificial_intelligence" + 0.004*"both_current" + 0.003*"next_generation" + 0.003*"software_engineer" + 0.003*"neural_network" + 0.003*"more_than" + 0.003*"successful_candidate" + 0.003*"fast_paced" + 0.003*"must_have" 2019-03-07 19:50:36,558 : INFO : topic diff=4.332756, rho=0.707107 2019-03-07 19:50:36,571 : INFO : using ParallelWordOccurrenceAccumulator(processes=3, batch_size=64) to estimate probabilities from sliding windows 2019-03-07 19:50:36,641 : INFO : 1 batches submitted to accumulate stats from 64 documents (18134 virtual) 2019-03-07 19:50:36,665 : INFO : 2 batches submitted to accumulate stats from 128 documents (40897 virtual) 2019-03-07 19:50:36,700 : INFO : 3 batches submitted to accumulate stats from 192 documents (62711 virtual) 2019-03-07 19:50:36,736 : INFO : 4 batches submitted to accumulate stats from 256 documents (83886 virtual) 2019-03-07 19:50:36,764 : INFO : 5 batches submitted to accumulate stats from 320 documents (107727 virtual) 2019-03-07 19:50:36,798 : INFO : 6 batches submitted to accumulate stats from 384 documents (129683 virtual) 2019-03-07 19:50:37,469 : INFO : 7 batches submitted to accumulate stats from 448 documents (152868 virtual) 2019-03-07 19:50:37,683 : INFO : 8 batches submitted to accumulate stats from 512 documents (176437 virtual) 2019-03-07 19:50:37,719 : INFO : 9 batches submitted to accumulate stats from 576 documents (203652 virtual) 2019-03-07 19:50:38,364 : INFO : 10 batches submitted to accumulate stats from 640 documents (234947 virtual) 2019-03-07 19:50:38,625 : INFO : 11 batches submitted to accumulate stats from 704 documents (266500 virtual) 2019-03-07 19:50:38,722 : INFO : 12 batches submitted to accumulate stats from 768 documents (290130 virtual) 2019-03-07 19:50:39,945 : INFO : 13 batches submitted to accumulate stats from 832 documents (316871 virtual) 2019-03-07 19:50:40,345 : INFO : 14 batches submitted to accumulate stats from 896 documents (344521 virtual) 2019-03-07 19:50:44,359 : INFO : 15 batches submitted to accumulate stats from 960 documents (374040 virtual) 2019-03-07 19:50:44,815 : INFO : 16 batches submitted to accumulate stats from 1024 documents (403835 virtual) 2019-03-07 19:50:45,117 : INFO : 17 batches submitted to accumulate stats from 1088 documents (422943 virtual) 2019-03-07 19:50:47,342 : INFO : 18 batches submitted to accumulate stats from 1152 documents (439725 virtual) 2019-03-07 19:50:47,868 : INFO : 19 batches submitted to accumulate stats from 1216 documents (462836 virtual) 2019-03-07 19:50:48,496 : INFO : 20 batches submitted to accumulate stats from 1280 documents (484636 virtual) 2019-03-07 19:50:50,035 : INFO : 21 batches submitted to accumulate stats from 1344 documents (504608 virtual) 2019-03-07 19:50:50,366 : INFO : 22 batches 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submitted to accumulate stats from 1984 documents (750986 virtual) 2019-03-07 19:50:57,625 : INFO : 32 batches submitted to accumulate stats from 2048 documents (774155 virtual) 2019-03-07 19:50:57,649 : INFO : 33 batches submitted to accumulate stats from 2112 documents (796587 virtual) 2019-03-07 19:50:57,978 : INFO : 34 batches submitted to accumulate stats from 2176 documents (823036 virtual) 2019-03-07 19:50:58,779 : INFO : 35 batches submitted to accumulate stats from 2240 documents (850892 virtual) 2019-03-07 19:50:58,962 : INFO : 36 batches submitted to accumulate stats from 2304 documents (880293 virtual) 2019-03-07 19:50:59,010 : INFO : 37 batches submitted to accumulate stats from 2368 documents (911134 virtual) 2019-03-07 19:50:59,951 : INFO : 38 batches submitted to accumulate stats from 2432 documents (938634 virtual) 2019-03-07 19:51:00,004 : INFO : 39 batches submitted to accumulate stats from 2496 documents (967914 virtual) 2019-03-07 19:51:00,336 : INFO : 40 batches submitted to accumulate stats from 2560 documents (999999 virtual) 2019-03-07 19:51:01,254 : INFO : 41 batches submitted to accumulate stats from 2624 documents (1034738 virtual) 2019-03-07 19:51:01,354 : INFO : 42 batches submitted to accumulate stats from 2688 documents (1069590 virtual) 2019-03-07 19:51:01,801 : INFO : 43 batches submitted to accumulate stats from 2752 documents (1101383 virtual) 2019-03-07 19:51:02,882 : INFO : 44 batches submitted to accumulate stats from 2816 documents (1136126 virtual) 2019-03-07 19:51:03,537 : INFO : 45 batches submitted to accumulate stats from 2880 documents (1171728 virtual) 2019-03-07 19:51:03,995 : INFO : 46 batches submitted to accumulate stats from 2944 documents (1213166 virtual) 2019-03-07 19:51:05,806 : INFO : 47 batches submitted to accumulate stats from 3008 documents (1251306 virtual) 2019-03-07 19:51:06,894 : INFO : 48 batches submitted to accumulate stats from 3072 documents (1284269 virtual) 2019-03-07 19:51:07,192 : INFO : 49 batches submitted to accumulate stats from 3136 documents (1313164 virtual) 2019-03-07 19:51:08,931 : INFO : 50 batches submitted to accumulate stats from 3200 documents (1344280 virtual) 2019-03-07 19:51:09,500 : INFO : 51 batches submitted to accumulate stats from 3264 documents (1364436 virtual) 2019-03-07 19:51:10,230 : INFO : 52 batches submitted to accumulate stats from 3328 documents (1382945 virtual) 2019-03-07 19:51:11,097 : INFO : 53 batches submitted to accumulate stats from 3392 documents (1407211 virtual) 2019-03-07 19:51:11,204 : INFO : 54 batches submitted to accumulate stats from 3456 documents (1429348 virtual) 2019-03-07 19:51:11,584 : INFO : 55 batches submitted to accumulate stats from 3520 documents (1453207 virtual) 2019-03-07 19:51:12,155 : INFO : 56 batches submitted to accumulate stats from 3584 documents (1477137 virtual) 2019-03-07 19:51:12,448 : INFO : 57 batches submitted to accumulate stats from 3648 documents (1497155 virtual) 2019-03-07 19:51:12,556 : INFO : 58 batches submitted to accumulate stats from 3712 documents (1518406 virtual) 2019-03-07 19:51:14,417 : INFO : serializing accumulator to return to master... 2019-03-07 19:51:14,438 : INFO : serializing accumulator to return to master... 2019-03-07 19:51:14,440 : INFO : accumulator serialized 2019-03-07 19:51:14,465 : INFO : accumulator serialized 2019-03-07 19:51:14,743 : INFO : serializing accumulator to return to master... 2019-03-07 19:51:14,759 : INFO : accumulator serialized 2019-03-07 19:51:15,591 : INFO : 3 accumulators retrieved from output queue 2019-03-07 19:51:15,829 : INFO : accumulated word occurrence stats for 1519952 virtual documents 2019-03-07 19:51:17,528 : INFO : using symmetric alpha at 0.02631578947368421 2019-03-07 19:51:17,529 : INFO : using symmetric eta at 0.02631578947368421 2019-03-07 19:51:17,534 : INFO : using serial LDA version on this node 2019-03-07 19:51:17,578 : INFO : running online (single-pass) LDA training, 38 topics, 1 passes over the supplied corpus of 3701 documents, updating model once every 2000 documents, evaluating perplexity every 3701 documents, iterating 50x with a convergence threshold of 0.001000 2019-03-07 19:51:17,578 : WARNING : too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy 2019-03-07 19:51:17,579 : INFO : PROGRESS: pass 0, at document #2000/3701 2019-03-07 19:51:20,362 : INFO : merging changes from 2000 documents into a model of 3701 documents 2019-03-07 19:51:20,396 : INFO : topic #10 (0.026): 0.009*"data_scientist" + 0.006*"software_engineer" + 0.004*"google" + 0.003*"artificial_intelligence" + 0.003*"next_generation" + 0.002*"large_scale" + 0.002*"real_time" + 0.002*"data_mining" + 0.002*"cross_functional" + 0.002*"more_than" 2019-03-07 19:51:20,397 : INFO : topic #23 (0.026): 0.005*"data_scientist" + 0.003*"open_source" + 0.003*"apache_spark" + 0.003*"data_set" + 0.003*"communication_skill" + 0.003*"software_development" + 0.003*"artificial_intelligence" + 0.003*"apache" + 0.002*"cutting_edge" + 0.002*"work_closely" 2019-03-07 19:51:20,399 : INFO : topic #5 (0.026): 0.003*"data_scientist" + 0.002*"best_practice" + 0.002*"data_set" + 0.002*"large_scale" + 0.002*"software_engineer" + 0.002*"this_role" + 0.002*"high_quality" + 0.002*"work_closely" + 0.002*"problem_solving" + 0.002*"cross_functional" 2019-03-07 19:51:20,401 : INFO : topic #21 (0.026): 0.005*"software_development" + 0.003*"familiarity_with" + 0.003*"text_analytics" + 0.003*"team_member" + 0.003*"best_practice" + 0.003*"software_engineer" + 0.002*"large_scale" + 0.002*"enterprise" + 0.002*"this_role" + 0.002*"full_time" 2019-03-07 19:51:20,403 : INFO : topic #15 (0.026): 0.005*"familiarity_with" + 0.004*"security" + 0.003*"pattern_recognition" + 0.003*"united_state" + 0.003*"cutting_edge" + 0.003*"software_development" + 0.002*"bachelor_degree" + 0.002*"problem_solving" + 0.002*"this_role" + 0.002*"apache_spark" 2019-03-07 19:51:20,405 : INFO : topic diff=7.924976, rho=1.000000 2019-03-07 19:51:25,487 : INFO : -12.726 per-word bound, 6773.2 perplexity estimate based on a held-out corpus of 1701 documents with 566066 words 2019-03-07 19:51:25,488 : INFO : PROGRESS: pass 0, at document #3701/3701 2019-03-07 19:51:28,668 : INFO : merging changes from 1701 documents into a model of 3701 documents 2019-03-07 19:51:28,706 : INFO : topic #35 (0.026): 0.009*"within_unit" + 0.005*"essential_function" + 0.004*"care" + 0.004*"problem_produce" + 0.004*"comprehension" + 0.004*"alternative_solution" + 0.003*"ability_speak" + 0.003*"policy_procedure" + 0.003*"clarity" + 0.003*"ability_communicate" 2019-03-07 19:51:28,708 : INFO : topic #14 (0.026): 0.008*"understand_information" + 0.005*"duty" + 0.005*"policy_procedure" + 0.005*"essential_function" + 0.005*"procedure" + 0.004*"identify_understand" + 0.004*"staff" + 0.004*"servicing" + 0.004*"others" + 0.004*"must_able" 2019-03-07 19:51:28,710 : INFO : topic #17 (0.026): 0.008*"microsoft" + 0.004*"databricks" + 0.004*"medical" + 0.004*"microsoft_country" + 0.004*"apache_spark" + 0.003*"request" + 0.003*"this_role" + 0.003*"qualified_applicant" + 0.003*"information_marital" + 0.003*"apache" 2019-03-07 19:51:28,712 : INFO : topic #34 (0.026): 0.008*"wrong" + 0.004*"understand_information" + 0.004*"neural_network" + 0.003*"collaborate_with" + 0.003*"data_scientist" + 0.003*"artificial_intelligence" + 0.003*"problem_solving" + 0.003*"fast_paced" + 0.003*"bend_lift" + 0.002*"guest" 2019-03-07 19:51:28,714 : INFO : topic #31 (0.026): 0.005*"neural_network" + 0.005*"sentence" + 0.003*"mortgage_industry" + 0.003*"ability_attend" + 0.003*"problem_solving" + 0.003*"data_set" + 0.003*"ideal_candidate" + 0.002*"mortgage" + 0.002*"safety" + 0.002*"data_scientist" 2019-03-07 19:51:28,717 : INFO : topic diff=5.057997, rho=0.707107 2019-03-07 19:51:28,734 : INFO : using ParallelWordOccurrenceAccumulator(processes=3, batch_size=64) to estimate probabilities from sliding windows 2019-03-07 19:51:28,805 : INFO : 1 batches submitted to accumulate stats from 64 documents (18134 virtual) 2019-03-07 19:51:28,832 : INFO : 2 batches submitted to accumulate stats from 128 documents (40897 virtual) 2019-03-07 19:51:28,860 : INFO : 3 batches submitted to accumulate stats from 192 documents (62711 virtual) 2019-03-07 19:51:28,963 : INFO : 4 batches submitted to accumulate stats from 256 documents (83886 virtual) 2019-03-07 19:51:28,998 : INFO : 5 batches submitted to accumulate stats from 320 documents (107727 virtual) 2019-03-07 19:51:29,027 : INFO : 6 batches submitted to accumulate stats from 384 documents (129683 virtual) 2019-03-07 19:51:29,710 : INFO : 7 batches submitted to accumulate stats from 448 documents (152868 virtual) 2019-03-07 19:51:30,051 : INFO : 8 batches submitted to accumulate stats from 512 documents (176437 virtual) 2019-03-07 19:51:30,110 : INFO : 9 batches submitted to accumulate stats from 576 documents (203652 virtual) 2019-03-07 19:51:30,859 : INFO : 10 batches submitted to accumulate stats from 640 documents (234947 virtual) 2019-03-07 19:51:31,165 : INFO : 11 batches submitted to accumulate stats from 704 documents (266500 virtual) 2019-03-07 19:51:31,203 : INFO : 12 batches submitted to accumulate stats from 768 documents (290130 virtual) 2019-03-07 19:51:32,326 : INFO : 13 batches submitted to accumulate stats from 832 documents (316871 virtual) 2019-03-07 19:51:32,779 : INFO : 14 batches submitted to accumulate stats from 896 documents (344521 virtual) 2019-03-07 19:51:33,420 : INFO : 15 batches submitted to accumulate stats from 960 documents (374040 virtual) 2019-03-07 19:51:34,407 : INFO : 16 batches submitted to accumulate stats from 1024 documents (403160 virtual) 2019-03-07 19:51:34,573 : INFO : 17 batches submitted to accumulate stats from 1088 documents (422189 virtual) 2019-03-07 19:51:34,719 : INFO : 18 batches submitted to accumulate stats from 1152 documents (439475 virtual) 2019-03-07 19:51:35,769 : INFO 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INFO : 46 batches submitted to accumulate stats from 2944 documents (1212544 virtual) 2019-03-07 19:51:49,317 : INFO : 47 batches submitted to accumulate stats from 3008 documents (1249525 virtual) 2019-03-07 19:51:50,261 : INFO : 48 batches submitted to accumulate stats from 3072 documents (1283628 virtual) 2019-03-07 19:51:50,520 : INFO : 49 batches submitted to accumulate stats from 3136 documents (1312267 virtual) 2019-03-07 19:51:52,016 : INFO : 50 batches submitted to accumulate stats from 3200 documents (1343609 virtual) 2019-03-07 19:51:52,578 : INFO : 51 batches submitted to accumulate stats from 3264 documents (1364128 virtual) 2019-03-07 19:51:53,424 : INFO : 52 batches submitted to accumulate stats from 3328 documents (1382452 virtual) 2019-03-07 19:51:54,547 : INFO : 53 batches submitted to accumulate stats from 3392 documents (1406764 virtual) 2019-03-07 19:51:54,751 : INFO : 54 batches submitted to accumulate stats from 3456 documents (1429146 virtual) 2019-03-07 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virtual documents
There is excellent coherence at the 10 topics I had used, so we will stay with that, in an effort to avoid being overly selective.
A (Quasi) Supervised Approach¶
Bag of Words¶
BoW with SKLearn CountVectorizer¶
In [75]:
df1 = X
In [77]:
tok = WordPunctTokenizer()
pat1 = r'@[A-Za-z0-9]+'
pat2 = r'https?://[A-Za-z0-9./]+'
combined_pat = r'|'.join((pat1, pat2))
def clean_text(text):
# 1. Remove HTML
soup = BeautifulSoup(text)
souped = soup.get_text()
#
# 2. Remove non-letters
#letters_only = re.sub("[^a-zA-Z]", " ", review_text)
stripped = re.sub(combined_pat, '', souped)
try:
clean = stripped.decode("utf-8-sig").replace(u"\ufffd", "?")
except:
clean = stripped
letters_only = re.sub("[^a-zA-Z]", " ", clean)
#
# 3. Convert to lower case, split into individual words
lower_case = letters_only.lower()
words = tok.tokenize(lower_case)
# 4. In Python, searching a set is much faster than searching
# a list, so convert the stop words to a set
stops = stop_words
#
# 5. Remove stop words
meaningful_words = [w for w in words if not w in stops]
#
# 6. Join the words back into one string separated by space,
# and return the result.
#return( " ".join( meaningful_words ))
return (" ".join(words)).strip()
In [78]:
# remove punctuation from the job titles first
#X['job_description'] = X['job_description'].apply(clean_text)
for text in X:
for i in range(len(X)):
X['job_description'][i] = clean_text(X['job_description'][i])
In [79]:
X.head(1)
Out[79]:
| title | job_description | job_class | gender_breakdown | |
|---|---|---|---|---|
| 0 | Research Scientist Natural Language Processing | conduent is the world s largest provider of diversified business process services with leading capabilities in transaction processing automation analytics and constituent experience we work with both government and commercial customers in assisting them to deliver quality services to the people they serve we manage interactions with patients and the insured for a significant portion of the u s healthcare industry we are the customer interface for large segments of the technology industry and the operational and processing partner of choice for public transportation systems around the world whether it s digital payments claims processing benefit administration automated tolling customer care or distributed learning conduent manages and modernizes these interactions to create value for both our clients and their constituents learn more at www conduent com research scientist natural language processing for the world s largest provider of diversified bpo services wouldn t it be great to use your natural language processing nlp experience to improve the lives of citizens patients and employees around the world at conduent we re building algorithms and tools that do exactly that if you re interested in an exciting innovative position that allows you to leverage these skills then you re just the kind of person we re looking for conduent is enhancing its platforms in transportation healthcare financial services and customer care with predictive and prescriptive analytics because of the broad range of fields we provide services for you can be assured of not being pigeonholed into a narrow domain and continue to be challenged by applying the latest advances in the field we work with both government and commercial customers in assisting them to deliver quality services to the people they serve at conduent you will use your knowledge and training to take the everyday services that our clients are using and add analytics automation intelligence to make these more efficient more usable more exciting and more functional more about us conduent labs works closely with conduent business groups to addresses real world challenges such as the rising cost of healthcare mobility in urban society and payment card fraud in financial welfare programs we adopt a multidisciplinary approach that combines techniques from diverse domains such as machine learning statistical modeling simulation optimization and multimedia analysis and use big data technologies to consolidate and analyze volumes of data from multiple sources in a scalable manner our work is guided by insights from ethnographic analysis and deep domain knowledge from both in house and external experts fast facts b in global business million people estimated to travel through conduent managed toll systems daily our research team has generated over patents and counting of managed u s healthcare plans are clients provider of parking solutions in the u s with award winning innovation of top u s mobile service providers rely on us to deliver customer care position description the research scientist will apply their skills to work at the leading edge of automation in industries such as customer care healthcare social media education and legal and compliance solutions our call centers support a diverse set of clients where automating understanding of the intent the topics and the sentiment of the conversation will lead to a better customer experience in our education services we seek to understand the training needs of our clients and evaluate their effective delivery through free text analysis content moderation is a growing problem and being able to automate the process of determine if text and other content posted to social media violates policies would have great value the nlp scientist will identify use cases create demonstrations of capabilities and identify new opportunities in these and other conduent businesses responsibilities the natural language processing research scientist will be of the subject matter expert in innovative projects where natural language processing analytics will lead to increased efficiencies in businesses where conduent operates apply machine learning and other techniques to design and prototype intelligent real world applications that intelligently extract understanding from text and or audio sources keep abreast of the latest developments in the field by participating in conferences and other venues and can champion promising new methods to explore proactively identify new areas of research and in partnership with business groups develop value based proposals for investment work with intrapreneurial business teams to develop and commercialize user centric adaptive and robust systems contribute to the external community through conference participation and journal articles qualifications ms with years of experience or ph d in computer science computation linguistics or a related field experience with the various aspects of natural language processing including named entity recognition sentiment analysis content summarization intent recognition and experience with an understanding of the algorithms by which these are implemented must be a self driven problem solver capable of implementing innovative solutions to problems performing experiments to show feasibility of their solutions and working to refine the solutions into a real world context and demonstrated experience of working with teams to solve problems interdisciplinary skills big data analytics modeling and simulation systems design and prototyping the ideal candidate will possess experience and knowledge in services domains such as business process outsourcing systems transportation systems healthcare systems and financial services conduent is an equal opportunity employer and considers applicants for all positions without regard to race color creed religion ancestry national origin age gender identity gender expression sex gender marital status sexual orientation physical or mental disability medical condition use of a guide dog or service animal military veteran status citizenship status basis of genetic information or any other group protected by law people with disabilities who need a reasonable accommodation to apply for or compete for employment with conduent may request such accommodation s by clicking on the following link completing the accommodation request form and submitting the request by using the submit button at the bottom of the form for those using google chrome or mozilla firefox please download the form first click here to access or download the form job r d computer science engineering primary location united states north carolina morrisville organization its unposting date ongoing travel no | Natural Language Processing | 1 |
In [80]:
#split up for classification
y = X.job_class
X1 = X.job_description
In [81]:
y_train, y_test = train_test_split(y, test_size=0.25, random_state=42)
In [82]:
from sklearn.feature_extraction.text import CountVectorizer
from nltk import word_tokenize
from nltk.stem import WordNetLemmatizer
vectorizer = CountVectorizer(stop_words=stop_words, analyzer='word', ngram_range=(1, 1), max_df=.30, min_df=.05, max_features=None)
bow = vectorizer.fit_transform(X1)
print(vectorizer.get_feature_names())
['abilities', 'able', 'academic', 'access', 'accommodation', 'according', 'accuracy', 'accurate', 'achieve', 'act', 'action', 'actionable', 'actions', 'active', 'actively', 'activities', 'ad', 'addition', 'additional', 'address', 'administration', 'advance', 'affirmative', 'age', 'agile', 'ai', 'algorithm', 'along', 'always', 'amazon', 'america', 'among', 'amounts', 'analyses', 'analyst', 'analysts', 'analytic', 'analytical', 'analyze', 'analyzing', 'ancestry', 'another', 'api', 'apis', 'applicable', 'applicant', 'applicants', 'application', 'applied', 'apply', 'applying', 'approach', 'approaches', 'appropriate', 'architect', 'architecture', 'architectures', 'area', 'areas', 'around', 'art', 'artificial', 'aspects', 'assessment', 'assigned', 'assist', 'assistance', 'associated', 'attention', 'audience', 'audiences', 'authorization', 'automated', 'automation', 'available', 'aws', 'azure', 'bachelor', 'back', 'background', 'balance', 'base', 'basic', 'basis', 'become', 'behavior', 'believe', 'benefit', 'benefits', 'better', 'beyond', 'big', 'bring', 'broad', 'bs', 'built', 'businesses', 'ca', 'call', 'candidate', 'candidates', 'capabilities', 'capable', 'capital', 'care', 'career', 'careers', 'cases', 'center', 'certification', 'challenge', 'challenges', 'challenging', 'change', 'changes', 'changing', 'characteristic', 'check', 'citizenship', 'clarity', 'class', 'classification', 'clear', 'clearance', 'clearly', 'client', 'clients', 'clinical', 'close', 'closely', 'cloud', 'clustering', 'co', 'code', 'coding', 'collaborate', 'collaboration', 'collaborative', 'colleagues', 'collection', 'college', 'com', 'combination', 'come', 'comfortable', 'commercial', 'commitment', 'committed', 'common', 'communicate', 'communicating', 'communications', 'communities', 'community', 'companies', 'compensation', 'competitive', 'complete', 'completion', 'compliance', 'components', 'comprehension', 'comprehensive', 'computational', 'computing', 'concepts', 'conditions', 'conduct', 'conferences', 'connect', 'consider', 'consideration', 'considered', 'consistent', 'constantly', 'consulting', 'consumer', 'contact', 'content', 'continue', 'continuous', 'continuously', 'contract', 'contribute', 'control', 'coordinate', 'core', 'corporate', 'cost', 'creating', 'creation', 'creative', 'creed', 'criminal', 'critical', 'cross', 'culture', 'current', 'currently', 'cutting', 'cycle', 'daily', 'database', 'databases', 'datasets', 'date', 'day', 'deadlines', 'decision', 'decisions', 'dedicated', 'define', 'deliver', 'deliverables', 'delivering', 'delivery', 'demonstrate', 'demonstrated', 'dental', 'department', 'deploy', 'deploying', 'deployment', 'depth', 'description', 'designed', 'designing', 'designs', 'desirable', 'desire', 'desired', 'detail', 'detailed', 'details', 'detection', 'determine', 'developed', 'developer', 'developers', 'develops', 'devices', 'difference', 'different', 'digital', 'direct', 'direction', 'directly', 'disabilities', 'discipline', 'disciplines', 'discover', 'discriminate', 'distributed', 'diverse', 'diversity', 'division', 'docker', 'document', 'documentation', 'documents', 'domain', 'done', 'drive', 'driven', 'driving', 'due', 'duties', 'dynamic', 'early', 'economics', 'ecosystem', 'edge', 'education', 'eeo', 'effective', 'effectively', 'efficiency', 'efficient', 'efforts', 'either', 'electrical', 'email', 'emerging', 'employee', 'employees', 'empower', 'enable', 'enabling', 'end', 'energy', 'engage', 'engagement', 'engineer', 'engineers', 'english', 'enhance', 'enjoy', 'ensure', 'ensuring', 'enterprise', 'entire', 'entrepreneurial', 'environments', 'equipment', 'equivalent', 'especially', 'essential', 'establish', 'established', 'etl', 'evaluate', 'evaluation', 'events', 'every', 'excel', 'excellence', 'exceptional', 'excited', 'exciting', 'execute', 'execution', 'executive', 'existing', 'expected', 'experienced', 'experiences', 'experiments', 'expert', 'expertise', 'experts', 'explore', 'exposure', 'expression', 'extend', 'extensive', 'external', 'extract', 'extraction', 'facilitate', 'facing', 'familiar', 'familiarity', 'family', 'fast', 'feature', 'features', 'federal', 'feedback', 'fields', 'finance', 'financial', 'find', 'findings', 'first', 'flexibility', 'flexible', 'focus', 'focused', 'follow', 'following', 'form', 'forward', 'foundation', 'framework', 'frameworks', 'free', 'fully', 'fun', 'function', 'functional', 'functions', 'future', 'gain', 'gender', 'general', 'generate', 'generation', 'genetic', 'get', 'git', 'giving', 'global', 'go', 'goal', 'goals', 'good', 'government', 'graduate', 'great', 'group', 'groups', 'grow', 'growing', 'growth', 'guidance', 'guide', 'guidelines', 'handle', 'hands', 'hard', 'hardware', 'health', 'healthcare', 'helping', 'helps', 'higher', 'highly', 'hire', 'hiring', 'history', 'hive', 'home', 'hours', 'http', 'https', 'human', 'ideal', 'ideas', 'identify', 'identifying', 'identity', 'image', 'impact', 'implement', 'implementation', 'implementing', 'important', 'improve', 'improvement', 'improvements', 'improving', 'inc', 'includes', 'independent', 'independently', 'individual', 'individuals', 'industries', 'influence', 'infrastructure', 'initiative', 'initiatives', 'innovation', 'innovative', 'insight', 'insights', 'insurance', 'integrate', 'integration', 'integrity', 'intelligence', 'intelligent', 'interact', 'interaction', 'interest', 'interested', 'interface', 'intern', 'internal', 'internet', 'internship', 'interpersonal', 'involve', 'issues', 'javascript', 'jobs', 'judgment', 'junior', 'kafka', 'keep', 'keras', 'key', 'know', 'lab', 'languages', 'largest', 'latest', 'law', 'laws', 'lead', 'leader', 'leaders', 'leadership', 'leading', 'leads', 'learn', 'least', 'leave', 'legal', 'levels', 'leverage', 'leveraging', 'libraries', 'life', 'lifecycle', 'like', 'limited', 'line', 'linear', 'linux', 'listening', 'live', 'lives', 'local', 'located', 'location', 'locations', 'long', 'love', 'made', 'maintain', 'maintaining', 'maintains', 'maintenance', 'major', 'makes', 'making', 'manage', 'manager', 'managers', 'managing', 'manner', 'many', 'marital', 'market', 'marketing', 'markets', 'master', 'masters', 'math', 'mathematical', 'mathematics', 'matlab', 'matter', 'may', 'meaningful', 'measure', 'media', 'medical', 'meet', 'meeting', 'meetings', 'member', 'members', 'mental', 'mentor', 'mentoring', 'methodologies', 'methods', 'metrics', 'military', 'million', 'millions', 'minimum', 'mining', 'mission', 'ml', 'mobile', 'model', 'modern', 'monitor', 'monitoring', 'motivated', 'move', 'moving', 'ms', 'multi', 'multiple', 'natural', 'near', 'necessary', 'need', 'needed', 'needs', 'network', 'networks', 'neural', 'next', 'nlp', 'non', 'nosql', 'novel', 'number', 'object', 'objectives', 'offer', 'offers', 'office', 'offices', 'ongoing', 'online', 'open', 'operate', 'operating', 'operational', 'operations', 'opportunities', 'optimization', 'optimize', 'options', 'oral', 'order', 'organization', 'organizational', 'organizations', 'oriented', 'others', 'outcomes', 'outside', 'outstanding', 'overall', 'overview', 'ownership', 'paced', 'package', 'packages', 'paid', 'participate', 'partner', 'partners', 'party', 'passion', 'passionate', 'pattern', 'patterns', 'peers', 'per', 'perform', 'performing', 'performs', 'person', 'personal', 'ph', 'phd', 'physical', 'physics', 'pipeline', 'pipelines', 'place', 'plan', 'planning', 'plans', 'platform', 'platforms', 'play', 'player', 'please', 'plus', 'point', 'points', 'policies', 'policy', 'portfolio', 'positions', 'positive', 'possess', 'possible', 'post', 'posting', 'potential', 'power', 'practical', 'practice', 'practices', 'pre', 'predictive', 'preferably', 'pregnancy', 'present', 'presentation', 'presentations', 'previous', 'primary', 'principles', 'prior', 'priorities', 'prioritize', 'procedures', 'process', 'processes', 'produce', 'production', 'professional', 'professionals', 'proficiency', 'proficient', 'program', 'programs', 'progress', 'project', 'protected', 'prototype', 'prototypes', 'proud', 'proven', 'provided', 'provider', 'providers', 'provides', 'providing', 'public', 'publications', 'purpose', 'push', 'pytorch', 'qualified', 'quantitative', 'questions', 'quickly', 'range', 'rapidly', 'reach', 'read', 'reading', 'ready', 'real', 'reasonable', 'reasoning', 'receive', 'recognized', 'recommendations', 'record', 'records', 'recruiting', 'regard', 'regardless', 'regression', 'regular', 'regularly', 'regulations', 'relational', 'relationship', 'relationships', 'relevant', 'remote', 'report', 'reporting', 'reports', 'request', 'requests', 'require', 'requires', 'researchers', 'resolve', 'resource', 'resources', 'respect', 'responsibility', 'responsible', 'rest', 'results', 'resume', 'retrieval', 'revenue', 'review', 'reviews', 'right', 'risk', 'robust', 'roles', 'rules', 'run', 'safety', 'salary', 'sales', 'san', 'sas', 'scala', 'scalable', 'scale', 'schedule', 'school', 'sciences', 'scientific', 'scientist', 'scientists', 'scikit', 'scope', 'scripting', 'search', 'security', 'see', 'seeking', 'self', 'send', 'senior', 'sense', 'series', 'serve', 'server', 'service', 'set', 'sets', 'setting', 'several', 'sex', 'sexual', 'shape', 'share', 'short', 'signal', 'significant', 'similar', 'simulation', 'site', 'skill', 'small', 'smart', 'social', 'solid', 'solution', 'solve', 'solving', 'someone', 'something', 'source', 'sources', 'space', 'speak', 'speaking', 'special', 'specific', 'speech', 'spoken', 'sql', 'stack', 'staff', 'stakeholders', 'stand', 'standard', 'standards', 'start', 'startup', 'state', 'statement', 'states', 'statistical', 'statistics', 'storage', 'strategic', 'strategies', 'strategy', 'structure', 'structured', 'structures', 'students', 'study', 'subject', 'success', 'successful', 'successfully', 'suite', 'summary', 'supervision', 'supporting', 'supports', 'tableau', 'take', 'taking', 'talent', 'talented', 'task', 'tasks', 'teaching', 'teamwork', 'tech', 'tensorflow', 'term', 'test', 'testing', 'tests', 'text', 'theory', 'things', 'think', 'thinking', 'thought', 'three', 'thrive', 'throughout', 'timely', 'times', 'today', 'together', 'top', 'track', 'tracking', 'train', 'training', 'transform', 'transformation', 'translate', 'travel', 'trees', 'trends', 'two', 'type', 'types', 'understand', 'unique', 'unit', 'united', 'unstructured', 'upon', 'usage', 'used', 'user', 'users', 'uses', 'utilize', 'utilizing', 'validation', 'value', 'values', 'variety', 'various', 'verbal', 'veterans', 'via', 'video', 'view', 'vision', 'visit', 'visualization', 'voice', 'want', 'way', 'ways', 'web', 'week', 'wide', 'willing', 'without', 'word', 'workforce', 'workplace', 'works', 'worldwide', 'would', 'write', 'writing', 'www', 'year', 'york']
In [83]:
#Split into X_train and X_test now that BoW is complete.
X_train, X_test= train_test_split(bow, test_size=0.25, random_state=42)
Models to test initial Bag of Words¶
In [84]:
start = time.time()
rfc = ensemble.RandomForestClassifier()
fit = rfc.fit(X_train, y_train)
y_pred = rfc.predict(X_test)
print('Training set score:', rfc.score(X_train, y_train))
print('\nTest set score:', rfc.score(X_test, y_test))
end = time.time()
print("Done in", end - start, "seconds")
Training set score: 0.9938738738738738 Test set score: 0.6997840172786177 Done in 0.37171196937561035 seconds
In [85]:
# Logistic Regression Classifier
start = time.time()
lr = LogisticRegression()
lr.fit(X_train,y_train)
print('Training set score:', lr.score(X_train, y_train))
print('\nTest set score:', lr.score(X_test, y_test))
end = time.time()
print("Done in", end - start, "seconds")
Training set score: 0.992072072072072 Test set score: 0.6501079913606912 Done in 1.2980320453643799 seconds
In [86]:
start = time.time()
clf = XGBClassifier()
clf.fit(X_train,y_train)
clf.predict(X_test)
print('Training set score:', lr.score(X_train, y_train))
print('\nTest set score:', lr.score(X_test, y_test))
cross_val = cross_val_score(clf, X_train, y_train)
print('Cross Validation Score:', cross_val)
print('Cross Validation Mean:', cross_val.mean())
end = time.time()
print("Done in", end - start, "seconds")
Training set score: 0.992072072072072 Test set score: 0.6501079913606912 Cross Validation Score: [0.8049569 0.81857451 0.7937025 ] Cross Validation Mean: 0.80574463595872 Done in 72.00537180900574 seconds
The BoW did not perform well, even with a boosted model. It is worth noting that with fewer stop words, it produced better results (~87%)
K Means¶
In [87]:
# Normalize the data.
X_norm = normalize(X_train)
In [88]:
start = time.time()
# Reduce it to two components.
X_pca_bow = PCA(2).fit_transform(X_norm.todense())
# Calculate predicted values.
y_pred = KMeans(n_clusters=8, random_state=42).fit_predict(X_pca_bow)
# Plot the solution.
plt.scatter(X_pca_bow[:, 0], X_pca_bow[:, 1], c=y_pred)
plt.show()
end = time.time()
print("Done in", end - start, "seconds")
Done in 0.6801791191101074 seconds
Pretty nice clusters, with the exception of the variance of the top right green blob. This would suggest that many of my topics are actually very similar, with perhaps one or two outliers.
KMeans Mini-Batch¶
In [89]:
X_train_norm = normalize(X_train)
X_test_norm = normalize(X_test)
true_k = 10
km = MiniBatchKMeans(n_clusters=true_k, init='k-means++', batch_size=5000)
km.fit(X_train_norm)
km_train_label = km.labels_
km_test_label = km.predict(X_test_norm)
true_k = 10
km = MiniBatchKMeans(n_clusters=true_k, init='k-means++', batch_size=5000)
km.fit(X_train_norm)
km_train_label = km.labels_
km_test_label = km.predict(X_test_norm)
In [90]:
from time import time
rfc = ensemble.RandomForestClassifier()
fit = rfc.fit(X_train_norm, y_train)
y_pred = rfc.predict(X_test_norm)
print('Training set score:', rfc.score(X_train_norm, y_train))
print('\nTest set score:', rfc.score(X_test_norm, y_test))
t0 = time()
print("Done in %0.3fs" % (time() - t0))
Training set score: 0.9956756756756757 Test set score: 0.6911447084233261 Done in 0.000s
In [91]:
# Logistic Regression Classifier
import time
start = time.time()
lr = LogisticRegression()
lr.fit(X_train_norm,y_train)
print('Training set score:', lr.score(X_train_norm, y_train))
print('\nTest set score:', lr.score(X_test_norm, y_test))
end = time.time()
print("Done in", end - start, "seconds")
Training set score: 0.8108108108108109 Test set score: 0.6922246220302376 Done in 0.4608430862426758 seconds
LSA with BoW¶
In [92]:
# Logistic Regression Classifier
import time
start = time.time()
lr = LogisticRegression()
lr.fit(X_train_norm,y_train)
print('Training set score:', lr.score(X_train_norm, y_train))
print('\nTest set score:', lr.score(X_test_norm, y_test))
end = time.time()
print("Done in", end - start, "seconds")
Training set score: 0.8108108108108109 Test set score: 0.6922246220302376 Done in 0.3350362777709961 seconds
In [93]:
start = time.time()
from sklearn.decomposition import TruncatedSVD
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import Normalizer
from sklearn.decomposition import TruncatedSVD
lsa = TruncatedSVD(n_components=5,n_iter=500)
lsa.fit(bow)
terms = vectorizer.get_feature_names()
X_train_lsa = lsa.fit_transform(X_train)
X_test_lsa = lsa.transform(X_test)
for i,comp in enumerate(lsa.components_):
termsInComp = zip(terms,comp)
sortedterms = sorted(termsInComp, key=lambda x: x[1],reverse=True)[:10]
print("Concept %d:" % i)
for term in sortedterms:
print(term[0])
print(" ")
end = time.time()
print("Done in", end - start, "seconds")
Concept 0: understand service statistical project others process speech ensure may big Concept 1: utilize operate equipment procedures understand report others care ensure maintain Concept 2: utilize operate report ai care procedures cloud ml follow big Concept 3: statistical insights analytical risk predictive project statistics methods quantitative analytic Concept 4: care health may clinical education medical students healthcare statistical state Done in 10.185281753540039 seconds
Bigrams¶
In [94]:
X_train_clean, X_test_clean, y_train_clean, y_test_clean = train_test_split(X1, y, test_size=0.25, random_state=42)
count_vect_bigram = CountVectorizer(stop_words=stop_words, analyzer='word', ngram_range=(1,2), max_df=.30, min_df=.1, max_features=100000)
train_data_bow_bigram = count_vect_bigram.fit_transform(X_train_clean)
test_data_bow_bigram = count_vect_bigram.transform(X_test_clean)
In [95]:
X_norm = normalize(train_data_bow_bigram)
# Reduce it to two components.
X_pca_bow = PCA(2).fit_transform(X_norm.todense())
# Calculate predicted values.
y_pred = KMeans(n_clusters=4, random_state=42).fit_predict(X_pca_bow)
# Plot the solution.
plt.scatter(X_pca_bow[:, 0], X_pca_bow[:, 1], c=y_pred)
plt.show()
In [96]:
y.unique()
Out[96]:
array(['Natural Language Processing', 'Text Mining',
'Pattern Recognition', 'Machine Learning', 'Text Analytics',
'Apache Spark', 'Speech Recognition', 'Neural Networks'],
dtype=object)
In [97]:
labels = ['Natural Language Processing', 'Text Mining',
'Pattern Recognition', 'Machine Learning', 'Text Analytics',
'Apache Spark', 'Speech Recognition', 'Neural Networks']
In [98]:
import time
start = time.time()
#Confusion matrix for Bigram BOW with Logistic Regression
lr = LogisticRegression()
lr.fit(train_data_bow_bigram,y_train)
print('Training set score:', lr.score(train_data_bow_bigram, y_train_clean))
print('\nTest set score:', lr.score(test_data_bow_bigram, y_test_clean))
y_pred = lr.predict(test_data_bow_bigram)
conf = confusion_matrix(y_test_clean, y_pred, labels = labels)
cm = pd.DataFrame(conf, index = [i for i in labels],
columns = [i for i in labels])
plt.figure(figsize = (15,7))
plt.title('Confusion Matrix for BoW with Bigrams')
sns.heatmap(cm, annot=True, cmap="PuBu", fmt = 'd')
crs = cross_val_score(lr, train_data_bow_bigram, y_train_clean, cv=10)
print("Cross-Valid Bigram Fold Results are: ",crs)
print("Mean of Folds are = ",crs.mean())
end = time.time()
print("Done in %0.3fs", end - start)
Training set score: 0.9445045045045045 Test set score: 0.6609071274298056 Cross-Valid Bigram Fold Results are: [0.65248227 0.6975089 0.7 0.66428571 0.71582734 0.68363636 0.67636364 0.64727273 0.60363636 0.68978102] Mean of Folds are = 0.673079433152281 Done in %0.3fs 9.686353921890259
In [124]:
import time
start = time.time()
clf = XGBClassifier(silent=True,
scale_pos_weight=1,
learning_rate=0.01,
colsample_bytree = 0.4,
subsample = 0.90,
objective='binary:logistic',
n_estimators=600,
reg_alpha = 0.3,
max_depth=7,
gamma=1)
clf.fit(train_data_bow_bigram,y_train)
y_pred = clf.predict(test_data_bow_bigram)
print('Training set score:', clf.score(train_data_bow_bigram, y_train_clean))
print('\nTest set score:', clf.score(test_data_bow_bigram, y_test_clean))
cross_val = cross_val_score(clf, train_data_bow_bigram, y_train_clean)
print('Cross Validation Score:', cross_val)
print('Cross Validation Mean:', cross_val.mean())
end = time.time()
print("Done in", end - start, "seconds")
Training set score: 0.9679279279279279 Test set score: 0.8358531317494601 Cross Validation Score: [0.84375 0.8412527 0.82084691] Cross Validation Mean: 0.8352832017738255 Done in 360.20064878463745 seconds
In [100]:
#Confusion matrix for XGB performance visualization on bigrams
labels = ['Natural Language Processing', 'Text Mining',
'Pattern Recognition', 'Machine Learning', 'Text Analytics',
'Apache Spark', 'Speech Recognition', 'Neural Networks']
conf = confusion_matrix(y_test_clean, y_pred, labels = labels)
cm = pd.DataFrame(conf, index = [i for i in labels],
columns = [i for i in labels])
plt.figure(figsize = (15,7))
plt.title('Confusion Matrix for BoW with Bigrams XGBoost')
sns.heatmap(cm, annot=True, cmap="PuBu", fmt = 'd')
Out[100]:
<matplotlib.axes._subplots.AxesSubplot at 0x1a2b840320>
It is interesting to note that there is more correlation between machine learning, Apache Spark and Neural Networks. These are all fields that are "male dominated"
TF-IDF Analysis¶
Train and Test Sets¶
In [101]:
tfidf_transformer = TfidfTransformer()
tfidf = tfidf_transformer.fit_transform(bow)
tfidf.shape
Out[101]:
(3701, 944)
In [102]:
X_train_tfidf, X_test_tfidf = train_test_split(tfidf, test_size=0.25, random_state=42)
In [103]:
import time
start = time.time()
rfc = ensemble.RandomForestClassifier()
fit = rfc.fit(X_train_tfidf, y_train)
y_pred = rfc.predict(X_test_tfidf)
print('Training set score:', rfc.score(X_train_tfidf, y_train))
print('\nTest set score:', rfc.score(X_test_tfidf, y_test))
end = time.time()
print("Done in", end - start, "seconds")
Training set score: 0.9917117117117117 Test set score: 0.6565874730021598 Done in 0.4032268524169922 seconds
In [104]:
# Logistic Regression Classifier
start = time.time()
lr = LogisticRegression()
lr.fit(X_train_tfidf,y_train)
print('Training set score:', lr.score(X_train_tfidf, y_train))
print('\nTest set score:', lr.score(X_test_tfidf, y_test))
end = time.time()
print("Done in", end - start, "seconds")
Training set score: 0.8118918918918919 Test set score: 0.6792656587473002 Done in 0.37808895111083984 seconds
In [105]:
start = time.time()
# Normalize the data.
X_normt = normalize(tfidf)
# Reduce it to two components.
X_pcat = PCA(2).fit_transform(X_normt.todense())
# Calculate predicted values.
y_pred = KMeans(n_clusters=2, random_state=42).fit_predict(X_pcat)
# Plot the solution.
plt.scatter(X_pcat[:, 0], X_pcat[:, 1], c=y_pred)
plt.show()
end = time.time()
print("Done in %0.3fs", end - start)
Done in %0.3fs 0.8395192623138428
In [107]:
start = time.time()
rfc = ensemble.RandomForestClassifier()
vectorizer1 = TfidfVectorizer(#max_df=0.2, # drop words that occur in more than half the job descriptions
#min_df=10, # only use words that appear at least 10x
stop_words='english',
lowercase=True, #convert everything to lower case
use_idf=True,
smooth_idf=True #Adds 1 to all document frequencies, as if an extra document existed that used every word once. Prevents divide-by-zero errors
)
X_train_tfidf = vectorizer1.fit_transform(X_train_clean)
X_test_tfidf = vectorizer1.transform(X_test_clean)
fit = rfc.fit(X_train_tfidf, y_train)
y_pred = rfc.predict(X_test_tfidf)
print('Training set score:', rfc.score(X_train_tfidf, y_train))
print('\nTest set score:', rfc.score(X_test_tfidf, y_test))
end = time.time()
print("Done in %0.3fs", end - start)
Training set score: 0.994954954954955 Test set score: 0.6220302375809935 Done in %0.3fs 2.1358110904693604
In [108]:
df1.head(1)
Out[108]:
| title | job_description | job_class | gender_breakdown | |
|---|---|---|---|---|
| 0 | Research Scientist Natural Language Processing | conduent is the world s largest provider of diversified business process services with leading capabilities in transaction processing automation analytics and constituent experience we work with both government and commercial customers in assisting them to deliver quality services to the people they serve we manage interactions with patients and the insured for a significant portion of the u s healthcare industry we are the customer interface for large segments of the technology industry and the operational and processing partner of choice for public transportation systems around the world whether it s digital payments claims processing benefit administration automated tolling customer care or distributed learning conduent manages and modernizes these interactions to create value for both our clients and their constituents learn more at www conduent com research scientist natural language processing for the world s largest provider of diversified bpo services wouldn t it be great to use your natural language processing nlp experience to improve the lives of citizens patients and employees around the world at conduent we re building algorithms and tools that do exactly that if you re interested in an exciting innovative position that allows you to leverage these skills then you re just the kind of person we re looking for conduent is enhancing its platforms in transportation healthcare financial services and customer care with predictive and prescriptive analytics because of the broad range of fields we provide services for you can be assured of not being pigeonholed into a narrow domain and continue to be challenged by applying the latest advances in the field we work with both government and commercial customers in assisting them to deliver quality services to the people they serve at conduent you will use your knowledge and training to take the everyday services that our clients are using and add analytics automation intelligence to make these more efficient more usable more exciting and more functional more about us conduent labs works closely with conduent business groups to addresses real world challenges such as the rising cost of healthcare mobility in urban society and payment card fraud in financial welfare programs we adopt a multidisciplinary approach that combines techniques from diverse domains such as machine learning statistical modeling simulation optimization and multimedia analysis and use big data technologies to consolidate and analyze volumes of data from multiple sources in a scalable manner our work is guided by insights from ethnographic analysis and deep domain knowledge from both in house and external experts fast facts b in global business million people estimated to travel through conduent managed toll systems daily our research team has generated over patents and counting of managed u s healthcare plans are clients provider of parking solutions in the u s with award winning innovation of top u s mobile service providers rely on us to deliver customer care position description the research scientist will apply their skills to work at the leading edge of automation in industries such as customer care healthcare social media education and legal and compliance solutions our call centers support a diverse set of clients where automating understanding of the intent the topics and the sentiment of the conversation will lead to a better customer experience in our education services we seek to understand the training needs of our clients and evaluate their effective delivery through free text analysis content moderation is a growing problem and being able to automate the process of determine if text and other content posted to social media violates policies would have great value the nlp scientist will identify use cases create demonstrations of capabilities and identify new opportunities in these and other conduent businesses responsibilities the natural language processing research scientist will be of the subject matter expert in innovative projects where natural language processing analytics will lead to increased efficiencies in businesses where conduent operates apply machine learning and other techniques to design and prototype intelligent real world applications that intelligently extract understanding from text and or audio sources keep abreast of the latest developments in the field by participating in conferences and other venues and can champion promising new methods to explore proactively identify new areas of research and in partnership with business groups develop value based proposals for investment work with intrapreneurial business teams to develop and commercialize user centric adaptive and robust systems contribute to the external community through conference participation and journal articles qualifications ms with years of experience or ph d in computer science computation linguistics or a related field experience with the various aspects of natural language processing including named entity recognition sentiment analysis content summarization intent recognition and experience with an understanding of the algorithms by which these are implemented must be a self driven problem solver capable of implementing innovative solutions to problems performing experiments to show feasibility of their solutions and working to refine the solutions into a real world context and demonstrated experience of working with teams to solve problems interdisciplinary skills big data analytics modeling and simulation systems design and prototyping the ideal candidate will possess experience and knowledge in services domains such as business process outsourcing systems transportation systems healthcare systems and financial services conduent is an equal opportunity employer and considers applicants for all positions without regard to race color creed religion ancestry national origin age gender identity gender expression sex gender marital status sexual orientation physical or mental disability medical condition use of a guide dog or service animal military veteran status citizenship status basis of genetic information or any other group protected by law people with disabilities who need a reasonable accommodation to apply for or compete for employment with conduent may request such accommodation s by clicking on the following link completing the accommodation request form and submitting the request by using the submit button at the bottom of the form for those using google chrome or mozilla firefox please download the form first click here to access or download the form job r d computer science engineering primary location united states north carolina morrisville organization its unposting date ongoing travel no | Natural Language Processing | 1 |
In [109]:
df1 = df1.drop(['title', 'gender_breakdown'], axis = 1)
In [110]:
start = time.time()
X = df1['job_description']
X_norm_tfidf = normalize(vectorizer1.fit_transform(X))
true_k = 8
labels = y
km = MiniBatchKMeans(n_clusters=true_k, init='k-means++', batch_size=5000)
print("Clustering sparse data with %s" % km)
km.fit(X_norm_tfidf)
mini_labels = km.labels_
print("Homogeneity: %0.3f" % metrics.homogeneity_score(labels, km.labels_))
print("Completeness: %0.3f" % metrics.completeness_score(labels, km.labels_))
print("V-measure: %0.3f" % metrics.v_measure_score(labels, km.labels_))
print("Adjusted Rand-Index: %.3f"
% metrics.adjusted_rand_score(labels, km.labels_))
print("Silhouette Coefficient: %0.3f"
% metrics.silhouette_score(X_norm_tfidf, km.labels_, sample_size=5000))
end = time.time()
print("Done in %0.3fs", end - start)
Clustering sparse data with MiniBatchKMeans(batch_size=5000, compute_labels=True, init='k-means++',
init_size=None, max_iter=100, max_no_improvement=10, n_clusters=8,
n_init=3, random_state=None, reassignment_ratio=0.01, tol=0.0,
verbose=0)
Homogeneity: 0.204
Completeness: 0.205
V-measure: 0.205
Adjusted Rand-Index: 0.117
Silhouette Coefficient: 0.013
Done in %0.3fs 5.80858302116394
In [111]:
len(y)
Out[111]:
3701
In [112]:
len(mini_labels)
Out[112]:
3701
In [113]:
mini_labels.shape
Out[113]:
(3701,)
In [114]:
df1['MiniBatchLabels'] = mini_labels
In [115]:
for label in set(mini_labels):
print('Cluster: %d' % label)
print(df1[df1.MiniBatchLabels == label].groupby('job_class').count())
print('')
Cluster: 0
job_description MiniBatchLabels
job_class
Speech Recognition 211 211
Cluster: 1
job_description MiniBatchLabels
job_class
Apache Spark 19 19
Machine Learning 183 183
Natural Language Processing 86 86
Neural Networks 166 166
Pattern Recognition 45 45
Speech Recognition 45 45
Text Analytics 8 8
Text Mining 4 4
Cluster: 2
job_description MiniBatchLabels
job_class
Apache Spark 157 157
Machine Learning 82 82
Natural Language Processing 103 103
Neural Networks 188 188
Pattern Recognition 73 73
Speech Recognition 8 8
Text Analytics 75 75
Text Mining 118 118
Cluster: 3
job_description MiniBatchLabels
job_class
Apache Spark 3 3
Machine Learning 48 48
Natural Language Processing 57 57
Neural Networks 56 56
Pattern Recognition 24 24
Speech Recognition 27 27
Text Analytics 2 2
Text Mining 7 7
Cluster: 4
job_description MiniBatchLabels
job_class
Apache Spark 358 358
Machine Learning 14 14
Natural Language Processing 23 23
Neural Networks 13 13
Pattern Recognition 11 11
Speech Recognition 23 23
Text Analytics 17 17
Text Mining 2 2
Cluster: 5
job_description MiniBatchLabels
job_class
Apache Spark 19 19
Machine Learning 65 65
Natural Language Processing 68 68
Neural Networks 75 75
Pattern Recognition 96 96
Speech Recognition 126 126
Text Analytics 41 41
Text Mining 31 31
Cluster: 6
job_description MiniBatchLabels
job_class
Apache Spark 86 86
Machine Learning 166 166
Natural Language Processing 139 139
Neural Networks 151 151
Pattern Recognition 71 71
Speech Recognition 56 56
Text Analytics 28 28
Text Mining 7 7
Cluster: 7
job_description MiniBatchLabels
job_class
Apache Spark 3 3
Machine Learning 15 15
Natural Language Processing 34 34
Neural Networks 13 13
Pattern Recognition 1 1
Speech Recognition 152 152
Text Mining 2 2
The speech recognition cluster seems to stick out on it's own. Perhaps this is similar to the cluster seen above in K-Means. Cluster 4 also is primarily comprised of some of the most male dominated fields, with the exception of one description. This is interesting.
In [116]:
#Let's check Cluster 0
shuffle(df1[df1.MiniBatchLabels == 0]).head(10)
Out[116]:
| job_description | job_class | MiniBatchLabels | |
|---|---|---|---|
| 2571 | experienced marketing representative needed for our adult day servicesprimary responsibilities this position works as an extension to the marketing department essential responsibilities identify clients that are eligible for home care and adult day care services participate in community events as necessary develop professional relationships with established community organizations and potential referral sources must function independently with personal integrity and ability to work effectively educates potential referral sources about home care and the specific assets of rhhc in choosing an agency distribute marketing material including fliers brochures and give away obtain and submit complete potential client referral information for enrollment process obtain a minimum of complete referrals per week meet marketing referral goal of at least authorizations per month maintain positive vendor relationships follow up with emails and correspondence regarding referral status and assist when possible non essential functions attends all required training in service and staff meetings strives to maintain a safe working environment through the prevention of accidents the preservation of equipment and the achievement of safe working practices maintains a positive and professional demeanor toward clients visitors families and co workers adheres to all policies and procedures of renaissance home health care agency performs other duties as assigned skills active listening giving full attention to what other people are saying taking time to understand the points being made asking questions as appropriate and not interrupting at inappropriate times understanding written sentences and paragraphs in work related documents speaking talking to others to convey information effectively time management managing one s own time and the time of others critical thinking using logic and reasoning to identify the strengths and weaknesses of alternative solutions conclusions or approaches to problems active learning understanding the implications of new information for both current and future problem solving and decision making attributes oral comprehension the ability to listen to and understand information and ideas presented through spoken words and sentences oral expression the ability to communicate information and ideas in speaking so others will understand written expression the ability to communicate information and ideas in writing so others will understand written comprehension the ability to read and understand information and ideas presented in writing speech recognition the ability to identify and understand the speech of another person speech clarity the ability to speak clearly so others can understand you near vision the ability to see details at close range within a few feet of the observer problem sensitivity the ability to tell when something is wrong or is likely to go wrong it does not involve solving the problem only recognizing there is a problem deductive reasoning the ability to apply general rules to specific problems to produce answers that make sense qualifications high school diploma or general education diploma ged recommended years field experience of marketing fluent in french creole homecare healthcare field experience preferred job type full timeexperience marketing year required homecare healthcare year required language french creole required benefits offered health insurancedental insuranceretirement benefits or accounts | Speech Recognition | 0 |
| 2625 | great people great benefits join our all star team baker assistant ascending to feet above sea level mt rainier is an iconic point in the washington landscape our associates gain valuable experience here while meeting guests and coworkers from around the world and in their free time they have a magical world of pristine mountain meadows majestic waterfalls peaceful old growth forests and much more to explore throughout the season we have regularly scheduled activities and day trips with transportation provided for associates including trips to nearby adventures or cities like seattle to visit pike place or catch a mariners game employees with vehicles are only a short hour trip away from exploring many destinations like portland and seattle on their own because of our unique location room and board are provided to associates who do not live in one of our surrounding communities at a very low cost via payroll deduction laundry facilities are provided at each dorm unit at no cost to employees employee meals are served in employee dining rooms we can also accommodate a limited number of rv units all rv s must be fully self contained no camper shells vans etc as a team member in mt rainier national park you can expect your season to last from approximately early may to the beginning of october do you naturally reach out to help others including guests and co workers are you excited by the opportunity to live in a remote and beautiful location are you willing and able to work hard if so we want to hear from you job summary the baker assistant assists in the daily production of specialty baked goods at paradise inn including pastries and desserts assist lead baker by preparing ingredients following recipes baking items and keeping the kitchen clean and orderly essential functions prepare and bake food items such as pastries doughs fillings cakes pies custards and breads according to recipes daily menus and supervisor instructions assemble and maintain sunday brunch dessert station under direction of supervisor maintain assigned foods at sufficient quantities while minimizing production waste assist in maintaining kitchen sanitation and equipment cleaning schedule adhere to food safety guidelines including servsafe and haccp attend and participate in safety meetings performs such other related duties as directed or required skill and knowledge requirements include high school diploma g e d equivalent required culinary school diploma preferred three months professional or culinary school baking experience strongly preferred hotel or national park experience preferred possess or be able to successfully complete servsafe certification possess basic knowledge of culinary terms and practices able to prepare baked items by following recipes able to follow directions to appropriately compensate for high altitude baking strong customer service abilities actively looks for ways to assist customers and coworkers ability to recognize when a problem has occurred and communicate it to management physical and mental requirements moving about on foot to accomplish tasks particularly frequent movements from place to place within the unit bend lift carry reach extend arms and hands above shoulder height frequently or otherwise move in a constantly changing environment lifting carrying and pushing up to lbs regularly lbs frequently and up to lbs occasionally ability to stand for the entire work day climbing steps regularly withstanding temperature extremes in freezer refrigerator walk in and grill areas reading and writing work related documents in english speech recognition and clarity including the ability to understand the speech of customers and co workers and the ability to speak clearly so that you can be understood by customers and co workers in english able to read and write work related documents in english constantly communicates and receives verbal communication with other employees in fast paced kitchen physical presence at the job site is essential to perform job duties equipment used typical professional kitchen equipment knife range oven mixer etc required personal protective equipment ppe used goggles gloves cut glove guest services inc is an equal opportunity affirmative action employer all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability or protected veteran status | Speech Recognition | 0 |
| 3022 | an hour part time dietary aide skilled nursing facility snf part time hourly location venice fl local candidates only shift nd shift and as needed opportunity the future of healthcare is here at village on the isle join our team as we advance caring for our senior adults with our person centered household model that focuses on dignified care and support village on the isle situated on a beautiful acre campus on the island of venice florida is one of the first continuing care retirement communities on the gulf coast of florida a vibrant and visionary community offering the full continuum of care village on the isle is guided in its philosophy and practices by its mission to share god s love by promoting individual growth and dignity enhancing the quality of life and meeting the human and spiritual needs of our residents staff and community these values are ever present in the thoughts and actions of the community and in how we treat one another with annual revenue of million the organization is home to approximately residents and employs a dedicated team of staff members job summary reporting to the healthcare food service supervisor the dietary aide is responsible for properly serving meals to the residents in the assigned dining rooms in compliance with therapeutic diet orders and village on the isle s standards the dietary aide respectfully interacts with all residents family members visitors colleagues and staff this is a safety sensitive position minimum qualifications partial high school education high school diploma g e d equivalent preferred strong sanitation habits genuine interest in geriatrics and compassion for aging strong customer service abilities actively looks for ways to assist residents and coworkers ability to recognize when a problem has occurred and communicate it to management essential functions it is understood that every incidental duty connected with operations listed in the job description is not always specifically described and that employees at the discretion of management may be required to perform duties not within their job descriptions the omission of an essential function does not preclude management from assigning duties not listed herein if such functions are a logical assignment to the position prepares tables and beverages for service serves meals to residents buses tables follows guidelines for proper ware washing and sanitation regular and reliable attendance is an essential function of this job essential mental and physical functions the essential mental and physical functions listed below are required in order for an employee to be able to perform the essential functions of this position moving about on foot to accomplish tasks particularly frequent movements from place to place within the unit bend lift carry reach extend arms and hands above shoulder height frequently or otherwise move in a constantly changing environment lifting carrying and pushing up to lbs regularly lbs frequently and up to lbs occasionally ability to stand for the entire work day withstanding temperature extremes in freezer refrigerator walk in and steam tables reading and writing work related documents in english speech recognition and clarity including the ability to understand the speech of customers and co workers and the ability to speak clearly so that you can be understood by customers and co workers in english constantly communicates and receives verbal communication with other employees drug free work place e o e | Speech Recognition | 0 |
| 2709 | great people great benefits join our all star team grill cook guest services inc is now hiring full time grill cooks at willow beach in az qualified candidates will be reliable motivated and hard working this is a seasonal position march to october apply today to join our all star team candidates must be able to work on weekends job summary the responsibility of the grill cook is to prepare cook and serve food items on the grill and to coordinate with the executive chef on all daily and special function menus essential functions responsible for setting up restocking and breaking down of the grill responsible for the daily production of meal items and daily menu specials responsible for preparing daily specials hot sandwich production and sides to be placed in the hot slide for service follow recipes and or product directions for preparing seasoning cooking and tasting meats vegetables and other grilled foods food preparation will include operating a variety of kitchen equipment to measure and mix ingredients washing peeling cutting and shredding food and trimming and cutting meat and poultry report all malfunctioning equipment to the supervisor taste food products read menus estimate food requirements check production and keep records in order to accurately plan production requirements control food production to ensure that extra food products be recycled or disposed of properly to manage food waste responsible for cleaning all equipment and utensils used in the grill prep and production area maintain temperature logs and signage for the grill station maintain awareness of safety issues and report them immediately to your manager skill and knowledge requirements partial high school education required high school diploma g e d preferred culinary knowledge food safety certified and strong sanitation habits strong customer service abilities actively looks for ways to assist customers and coworkers ability to recognize when a problem has occurred and communicate it to management physical and mental requirements moving about on foot to accomplish tasks particularly frequent movements from place to place within the unit bend lift carry reach extend arms and hands above shoulder height frequently or otherwise move in a constantly changing environment lifting carrying and pushing up to lbs regularly lbs frequently and up to lbs occasionally ability to stand for the entire work day ability to climb steps regularly withstanding temperature extremes in freezer refrigerator walk in and grill areas reading and writing work related documents in english speech recognition and clarity including the ability to understand the speech of customers and co workers and the ability to speak clearly so that you can be understood by customers and co workers in english constantly communicates and receives verbal communication with other employees in fast paced kitchen physical presence at the job site is essential to perform job duties equipment used standard commercial cooking machinery and utensils guest services inc is an equal opportunity affirmative action employer all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability or protected veteran status | Speech Recognition | 0 |
| 2624 | great people great benefits join our all star team maintenance specialist ascending to feet above sea level mt rainier is an iconic point in the washington landscape our associates gain valuable experience here while meeting guests and coworkers from around the world and in their free time they have a magical world of pristine mountain meadows majestic waterfalls peaceful old growth forests and much more to explore throughout the season we have regularly scheduled activities and day trips with transportation provided for associates including trips to nearby adventures or cities like seattle to visit pike place or catch a mariners game employees with vehicles are only a short hour trip away from exploring many destinations like portland and seattle on their own because of our unique location room and board are provided to associates who do not live in one of our surrounding communities at a very low cost via payroll deduction laundry facilities are provided at each dorm unit at no cost to employees employee meals are served in employee dining rooms we can also accommodate a limited number of rv units all rv s must be fully self contained no camper shells vans etc do you naturally reach out to help others including guests and co workers are you excited by the opportunity to live in a remote and beautiful location are you willing and able to work hard if so we want to hear from you job summary the maintenance specialist assists by performing all aspects of maintenance and repair work on all mechanical structural electrical equipment systems and works directly with longmire and paradise area maintenance mechanics on routine janitorial facilities maintenance participates in snow removal activities as needed essential functions receive direction from the maintenance manager and assist in the overall maintenance and repair of the assigned unit s operations conduct scheduled inspections of designated buildings and equipment check and repair equipment malfunctions seasonal snow removal at longmire and paradise as needed operate and maintain snow blower clean carpets at longmire and paradise facilities as needed operate and maintain host and auqatron carpet cleaning systems steam clean window screens rubber hallway runners and garbage room as needed assist in painting projects prep work and clean up install or remove shutters stock and stack firewood at paradise inn routine plumbing repairs faucet washers use of snake plunger etc exterior grounds maintenance all facilities light replacement as needed all facilities respond immediately and resolve emergency facility needs issues regarding safety security business requirements including fire alarm systems disengage electrical water or gas systems as necessary maintain and ensure safe facility environment including standards for maintenance and upkeep of facility s equipment notify manager of all unusual events circumstances or other safety or quality control issues represent the company in a professional and positive manner at all times maintain and enhance the company s image when interacting with clients guests associates and vendors performs such other related duties as directed or required skill and knowledge requirements include high school diploma g e d equivalent preferred strong customer service abilities actively looks for ways to assist customers and coworkers ability to recognize when a problem has occurred and communicate it to management physical and mental requirements must be able to speak clearly and listen attentively write legibly as well as read and understand directions and instructions reading and writing work related documents in english appearance must be in compliance with company guidelines will be required to perform diverse physical tasks must be able to stoop bend grasp and perform repetitive motions extensive walking and stair climbing good physical energy stamina and agility must be able to navigate tight crawl spaces exposure to wet floors occurs must be able to work in temperature extremes in indoor and outdoor environments cold icy or snowy conditions with elevations up to feet must be able to work on a ladder and above shoulder height must be able to work weekends and be on call must be service and safety oriented must possess a sense of awareness timelines urgency and common sense must live in local community or in park must be able to adapt to the isolation of national park life speech recognition and clarity including the ability to understand the speech of customers and co workers and the ability to speak clearly so that you can be understood by co workers physical presence at the job site is essential to perform job duties must wear the correct protective and safety equipment at all times equipment used as assigned and provided my maintenance manager repair equipment hand and electric tools personal protective equipment ppe used gloves goggles chemical resistant apron dust mask respirator ear muff plugs hard hat guest services inc is an equal opportunity affirmative action employer all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability or protected veteran status | Speech Recognition | 0 |
| 2955 | great people great benefits join our all star team general manager sunrise ascending to feet above sea level mt rainier is an iconic point in the washington landscape our associates gain valuable experience here while meeting guests and coworkers from around the world and in their free time they have a magical world of pristine mountain meadows majestic waterfalls peaceful old growth forests and much more to explore throughout the season we have regularly scheduled activities and day trips with transportation provided for associates including trips to nearby adventures or cities like seattle to visit pike place or catch a mariners game employees with vehicles are only a short hour trip away from exploring many destinations like portland and seattle on their own because of our unique location room and board are provided to associates who do not live in one of our surrounding communities at a very low cost via payroll deduction laundry facilities are provided at each dorm unit at no cost to employees employee meals are served in employee dining rooms we can also accommodate a limited number of rv units all rv s must be fully self contained no camper shells vans etc as a team member in mt rainier national park you can expect your season to last from approximately early may to the beginning of october do you naturally reach out to help others including guests and co workers are you excited by the opportunity to live in a remote and beautiful location are you willing and able to work hard if so we want to hear from you job summary the general manager is responsible for the direction of lodge staff provide excellence in retail and quick food service operations including a consistently high standard of guest service cleanliness product presentation organization cost control and sales this is a hands on position in order to lead and inspire the supervisor and employees daily duties also include overseeing employee housing for a staff of essential functions monitor problem solve and direct managers and employees to ensure efficient and safe completion of all food and retail daily tasks train on board and schedule staff manage staff appropriately to enforce standards and minimize personnel conflicts ensure accurate and timely completion of inspections inventories staff evaluations etc conduct regular manager meetings and pre shift meetings with front line associates ensuring clear and direct communication for the shift attend and participate in safety environmental meetings and national park service inspections under guidance of operations manager and retail manager participate in and provide working direction for pre post season setup teardown of unit operations manage payroll and applicable site specific budget manage employee housing units in conjunction with human resources manager maintain operation records such as schedules payroll deposits and daily cash reports ensure that cash controls standards are met in cash handling and safe accountability ensuring accuracy organization and security ensure health and sanitation guidelines are followed and standards are consistently met in f b units ensure strong attention in food presentation portion controls and quality of product ensure stock levels are consistently met through out the operations ensuring availability in product and ease of shopping with strong attention to merchandizing programs maintain a clean sanitized and well organized operation communicate and interact regularly and professionally with numerous people including guest services administrative staff and national park service representatives to ensure efficient operation of visitor center performs such other related duties as directed or required skill and knowledge requirements include high school diploma ged equivalent required college related degree strongly preferred at least years of food service and or retail experience in related management required national park gift shop and or food service experience strongly preferred able to learn and use pos system including computerized cash register and credit card terminal computer proficiency with the ability to utilize ms word excel and outlook food protection manager certification demonstration of food safety knowledge and sanitation demonstrated talent for interacting with a wide variety of people ability to effectively organize and coordinate multiple priorities ability to work well as a team leader ability to problem solve strong customer service abilities actively looks for ways to assist customers and coworkers physical and mental requirements moving about on foot to accomplish tasks particularly frequent movements from place to place within the unit bend lift carry reach extend arms and hands above shoulder height frequently or otherwise move in a constantly changing environment lifting carrying and pushing up to lbs regularly lbs frequently and up to lbs occasionally ability to stand for the entire work day and to climb steps regularly withstanding temperature extremes in freezer refrigerator walk in and grill areas reading and writing work related documents in english speech recognition and clarity including the ability to understand the speech of customers and co workers and the ability to speak clearly so that you can be understood by customers and co workers in english constantly communicates and receives verbal communication with other employees in fast paced environment able to learn and use pos system including computerized cash register and credit card terminal physical presence at the job site is essential to perform job duties equipment used standard commercial cooking machinery and utensils pots and pans fryers stove among others retail pos point of sale system including cash register and credit card terminal kitchen equipment typical office equipment computer fax telephone copier scanner among others required personal protective equipment ppe used gloves safety glasses goggles cut glove mitts guest services inc is an equal opportunity affirmative action employer all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability or protected veteran status | Speech Recognition | 0 |
| 2451 | tasks read catalogs microfiche viewers or computer displays in order to determine replacement part stock numbers and prices determine replacement parts required according to inspections of old parts customer requests or customers descriptions of malfunctions receive and fill telephone orders for parts fill customer orders from stock prepare sales slips or sales contracts receive payment or obtain credit authorization take inventory of stock advise customers on substitution or modification of parts when identical replacements are not available examine returned parts for defects and exchange defective parts or refund money mark and store parts in stockrooms according to prearranged systems qualifications skills active listening giving full attention to what other people are saying taking time to understand the points being made asking questions as appropriate and not interrupting at inappropriate times speaking talking to others to convey information effectively service orientation actively looking for ways to help people reading comprehension understanding written sentences and paragraphs in work related documents social perceptiveness being aware of others reactions and understanding why they react as they do persuasion persuading others to change their minds or behavior critical thinking using logic and reasoning to identify the strengths and weaknesses of alternative solutions conclusions or approaches to problems monitoring monitoring assessing performance of yourself other individuals or organizations to make improvements or take corrective action writing communicating effectively in writing as appropriate for the needs of the audience complex problem solving identifying complex problems and reviewing related information to develop and evaluate options and implement solutions abilities oral comprehension the ability to listen to and understand information and ideas presented through spoken words and sentences oral expression the ability to communicate information and ideas in speaking so others will understand speech clarity the ability to speak clearly so others can understand you speech recognition the ability to identify and understand the speech of another person written comprehension the ability to read and understand information and ideas presented in writing near vision the ability to see details at close range within a few feet of the observer information ordering the ability to arrange things or actions in a certain order or pattern according to a specific rule or set of rules e g patterns of numbers letters words pictures mathematical operations selective attention the ability to concentrate on a task over a period of time without being distracted written expression the ability to communicate information and ideas in writing so others will understand inductive reasoning the ability to combine pieces of information to form general rules or conclusions includes finding a relationship among seemingly unrelated events knowledge customer and personal service knowledge of principles and processes for providing customer and personal services this includes customer needs assessment meeting quality standards for services and evaluation of customer satisfaction sales and marketing knowledge of principles and methods for showing promoting and selling products or services this includes marketing strategy and tactics product demonstration sales techniques and sales control systems computers and electronics knowledge of circuit boards processors chips electronic equipment and computer hardware and software including applications and programming mechanical knowledge of machines and tools including their designs uses repair and maintenance work styles cooperation job requires being pleasant with others on the job and displaying a good natured cooperative attitude self control job requires maintaining composure keeping emotions in check controlling anger and avoiding aggressive behavior even in very difficult situations attention to detail job requires being careful about detail and thorough in completing work tasks stress tolerance job requires accepting criticism and dealing calmly and effectively with high stress situations independence job requires developing one s own ways of doing things guiding oneself with little or no supervision and depending on oneself to get things done dependability job requires being reliable responsible and dependable and fulfilling obligations integrity job requires being honest and ethical concern for others job requires being sensitive to others needs and feelings and being understanding and helpful on the job adaptability flexibility job requires being open to change positive or negative and to considerable variety in the workplace achievement effort job requires establishing and maintaining personally challenging achievement goals and exerting effort toward mastering tasks work values relationships occupations that satisfy this work value allow employees to provide service to others and work with co workers in a friendly non competitive environment corresponding needs are co workers moral values and social service independence occupations that satisfy this work value allow employees to work on their own and make decisions corresponding needs are creativity responsibility and autonomy support occupations that satisfy this work value offer supportive management that stands behind employees corresponding needs are company policies supervision human relations and supervision technical | Speech Recognition | 0 |
| 2885 | great people great benefits join our all star team lead baker ascending to feet above sea level mt rainier is an iconic point in the washington landscape our associates gain valuable experience here while meeting guests and coworkers from around the world and in their free time they have a magical world of pristine mountain meadows majestic waterfalls peaceful old growth forests and much more to explore throughout the season we have regularly scheduled activities and day trips with transportation provided for associates including trips to nearby adventures or cities like seattle to visit pike place or catch a mariners game employees with vehicles are only a short hour trip away from exploring many destinations like portland and seattle on their own because of our unique location room and board are provided to associates who do not live in one of our surrounding communities at a very low cost via payroll deduction laundry facilities are provided at each dorm unit at no cost to employees employee meals are served in employee dining rooms we can also accommodate a limited number of rv units all rv s must be fully self contained no camper shells vans etc as a team member in mt rainier national park you can expect your season to last from approximately early may to the beginning of october do you naturally reach out to help others including guests and co workers are you excited by the opportunity to live in a remote and beautiful location are you willing and able to work hard if so we want to hear from you job summary the lead baker coordinates and supervise daily production of specialty baked goods at paradise inn including pastries and desserts provide working direction to baking assistants to help maintain a consistently high standard of safety cleanliness and food excellence essential functions design and implement daily breakfast buffet pastry production under the direction of the chef design implement and maintain sunday brunch dessert station train supervise problem solve and direct workers to ensure efficient and safe completion of all baking tasks daily produce and direct the production of items such as pastries dough fillings cakes pies custards and breads ensure that entire department adheres to food safety guidelines including servsafe and haccp attend and participate in safety meetings sample smell and observe food to ensure conformance to recipes and taste and appearance standards manage staff appropriately to enforce standards and minimize personnel conflicts assist in maintenance of department records such as schedules food safety inspection logs and food costing performs such other related duties as directed or required inspect kitchen equipment for cleanliness kitchen appliances and work areas are in order to ensure cleanliness and functional operation monitor food station including verifying station checklist temperature logs counter meeting and signage requisition food supplies kitchen equipment and appliances based on estimates of future needs maintain awareness of safety issues and report them immediately to your manager performs such other related duties as directed or required skill and knowledge requirements include high school diploma g e d equivalent required culinary school diploma preferred two years culinary experience in full service restaurant required hotel or national park experience preferred possess or be able to successfully complete servsafe certification required possess strong knowledge of culinary terms and practices able to prepare baked and dessert items from scratch and follow recipes able to appropriately compensate for high altitude baking strong customer service abilities actively looks for ways to assist customers and coworkers ability to recognize when a problem has occurred and communicate it to management physical and mental requirements moving about on foot to accomplish tasks particularly frequent movements from place to place within the unit bend lift carry reach extend arms and hands above shoulder height frequently or otherwise move in a constantly changing environment lifting carrying and pushing up to lbs regularly lbs frequently and up to lbs occasionally ability to stand for the entire work day climbing steps regularly withstanding temperature extremes in freezer refrigerator walk in and grill areas reading and writing work related documents in english speech recognition and clarity including the ability to understand the speech of customers and co workers and the ability to speak clearly so that you can be understood by customers and co workers in english able to read and write work related documents in english constantly communicates and receives verbal communication with other employees in fast paced kitchen physical presence at the job site is essential to perform job duties equipment used typical professional kitchen equipment knife range oven mixer etc required personal protective equipment ppe used goggles gloves cut glove guest services inc is an equal opportunity affirmative action employer all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability or protected veteran status | Speech Recognition | 0 |
| 2930 | a re you ready to take your career to the next level servicelink one of the top providers in the mortgage services industry seeks an individual with a solid work history in the mortgage or real estate industry to join our team as an data architect the candidate will lead and guide the technical team at loancare data management is moving to explore new technologies to better manage our data and provide a platform for deep analytics to the organization this position will typically work on latest aws technologies and will work closely with other members of the data engineering team to ensure that their solutions work within the context of the enterprise as well as providing their expertise to the team a day in the life in this role you will lead and participate in the review and understanding of data requirements for data projects application development and reporting projects lead and perform data analysis activities including data profiling creation of data dictionaries data transformation rules and integration requirements experience with modern data architecture to handle both structured and unstructured data design build and deploy database applications manage data architecture requirements design develop apply and support data standardization policies analyze enterprise and application logical and physical data models and associated business rules to insure standards and best practices are followed who you are you possess experience working with emerging ml and ai and cloud technologies azure aws experience translating business requirements into data structure requirements and logical and physical model demonstrated ability with enterprise application and database driven applications advance technical knowledge and background in the areas of data modeling edw data mart data management data quality data governance data integration etl and data security proven experience in dimensional modeling star schema olap cubes and bus matrix mapping proven understanding in databases and analytics including relational databases e g sql server mysql data warehousing big data data lake redshift hadoop hive spark nosql and business analytics depth understanding in system development life cycle and successfully deployed reliable data systems and data quality management systems ability to work effectively with both business and technical stakeholders strong written and verbal communication skills to influence others skills business intel dashboard rept data architecture data modeling data warehousing who we are about us loancare a servicelink company is a leading national provider of full service subservicing and interim subservicing to the mortgage industry and has offered its expertise and best practices in providing servicing solutions for others since at the present time loancare subservices over million loans in states loancare has a seasoned loan servicing team with senior managers averaging nearly years of experience in the mortgage and financial services industry loancare is an equal opportunity employer all qualified applicants will receive consideration for employment without regard to race color religion sex age disability protected veteran status national origin or any other characteristic protected by applicable law essential functions are the basic job duties that an employee must be able to perform with or without reasonable accommodation detailed job duties architect design and implement cloud based solutions for ms azure cloud platform lead and take part in cloud readiness assessments workshops roadmap and application modernization discussions develop automated solutions to monitor and support our software development and release processes lead and develop azure data lake azure sql data warehouse azure data factory functions architecture and best practices work closely with network engineers to enforce firewall protocals reasearch and implement azure data security and protection features experience with etl in maintaining data marts familiarity with r python for data manipulation prior experience or exposure to aws is desirable design and code documentation tools and processes required for delivery movement and processing of raw data according to conditions outlined in project requirements documents qualifications minimum qualifications advanced or a bachelor s degree in scientific or analytic field and ten years of proven and relevant in the data architecture development environment excellent verbal and written communication skills strong customer service skills ability to multi task organize prioritize research and resolve issues in a timely and effective manner must be able to provide clear concise written responses that are recorded in the client s invoice processing system leadership skills and ability to organize and motivate others prior lead experience preferred work conditions working conditions are normal for an office environment ability to attend work and be productive during normal business hours and to work early late or weekend hours as needed for successful job performance over time required as necessary equal opportunity policy loancare is an equal opportunity employer all qualified applicants will receive consideration for employment without regard to race color religion sex age disability protected veteran status national origin or any other characteristic protected by applicable law essential functions are the basic job duties that an employee must be able to perform with or without reasonable accommodation essential functions critical thinking using logic and reasoning to identify the strengths and weaknesses of alternative solutions conclusions or approaches to problems reading comprehension understanding written sentences and paragraphs in work related documents english language knowledge of the structure and content of the english language including the meaning and spelling of words rules of composition and grammar speaking talking to others to convey information effectively active learning understanding the implications of new information for both current and future problem solving and decision making active listening giving full attention to what other people is saying taking time to understand the points being made asking questions as appropriate and not interrupting at inappropriate times instructing teaching others how to do something judgment and decision making considering the relative costs and benefits of potential actions to choose the most appropriate one time management managing one s own time and the time of others writing communicating effectively in writing as appropriate for the needs of the audience complex problem solving identifying complex problems and reviewing related information to develop and evaluate options and implement solutions deductive reasoning the ability to apply general rules to specific problems to produce answers that make sense problem sensitivity the ability to tell when something is wrong or is likely to go wrong it does not involve solving the problem only recognizing there is a problem written comprehension the ability to read and understand information and ideas presented in writing inductive reasoning the ability to combine pieces of information to form general rules or conclusions includes finding a relationship among seemingly unrelated events information ordering the ability to arrange things or actions in a certain order or pattern according to a specific rule or set of rules e g patterns of numbers letters words pictures mathematical operations near vision the ability to see details at close range within a few feet of the observer oral comprehension the ability to listen to and understand information and ideas presented through spoken words and sentences oral expression the ability to communicate information and ideas in speaking so others will understand speech recognition the ability to identify and understand the speech of another person speech clarity the ability to speak clearly so others can understand you physical demands sitting up to of time walking up to of time standing up to of time lifting up to of time occasional stooping kneeling crouching and reaching loancare is an equal opportunity employer all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability or protected veteran status job information technology primary location va virginia beach organization loancare information technology job posting jan pm | Speech Recognition | 0 |
| 2768 | great people great benefits join our all star team it service support specialist guest services inc is now hiring an it service support specialist to join our corporate office team in fairfax va this individual will be responsible for pc hardware and software support point of sale support it help desk support and more the ideal candidate must be self motivated reliable and a team player apply now to join our all star team job summary the it service support specialist is responsible for the configuration installation and maintenance of computers and point of sale equipment servers computers credit card machines registers scales among others required for the operation of a guest services location and is also responsible for support of computer software systems troubleshooting and resolving software and hardware problems essential functions perform pc hardware operating system and software installation configuration upgrades troubleshooting repairs one on one training telephone support and similar activities with little or no direct supervision respond to and resolve it related issues and inquiries perform technical analysis and troubleshooting of pos including resolving hardware software related technical problems design and implement the installation set up and updating of pos equipment including registers credit card machines and computers set up and install computer hardware and software including printers and related peripherals perform maintenance and repairs on computer hardware including backup recovery and equipment cleaning train users on computer hardware software and other electronic office equipment monitor operational performance and troubleshoot system problems isolate the cause of system failures interact with various outside support and sales organizations research and purchase computer network and other electronic office equipment hardware software design install support and integrate centralized and distributed network hardware operating systems and applications handle help desk calls and assigned help desk tickets all other duties as assigned by your manager skill and knowledge requirements include associates or bachelor s degree or years of relevant work experience understands the issues involved with administering and maintaining corporate infrastructure including network connectivity internet access email etc knowledge of microsoft windows operating systems applications and related support practices and procedures demonstrated talent for interacting with a wide variety of people ability to effectively organize and coordinate multiple priorities ability to learn and develop new skills ability to problem solve ability to work independently with a significant degree of creativity and latitude physical and mental requirements ability to travel to units locally regularly and nationally on an occasional basis ability to sit at a desk in front of a computer for the entire work day reading and writing work related documents in english speech recognition and clarity including the ability to understand the speech of customers and co workers and the ability to speak clearly so that you can be understood by customers and co workers in english constantly communicates and receives verbal communication with other employees lifting carrying and pushing up to lbs occasionally up to lbs seldom occasionally stoop kneel or crouch use hands and arms to reach for grasp and manipulate objects equipment used typical office equipment computers multi extension phone system fax copiers scanners among others guest services inc is an equal opportunity affirmative action employer all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability or protected veteran status | Speech Recognition | 0 |
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| 294 | baidu is looking for software engineers with strong programming and development skills our paddle team is creating the next generation of deep learning systems and algorithms with a focus on sentiment analysis natural language processing text to speech synthesis and natural language processing you will build baidu s deep learning framework and push for the next generation of media outlet you will be working with a small team of highly talented researchers and product managers who are focused on advancing the ai mission here s what you will do work with baidu s deep learning framework team to build deep learning applications design overall software architecture implement efficient and fast algorithms integrate third party service apis and libraries and deploy and maintain software design and write specifications for different applications create and take ownership of projects quickly build working prototypes and produce deliverables to meet the release cycles test code for robustness usability and general reliability document code for clarity maintainability and reusability continually discover evaluate and implement new ways to maximize development and execution efficiency here s what we d like to see in you strong coding ability in c python java for a linux unix platform familiar with using deep learning framework such as tensorflow or pytorch caffe extensive experience writing clean and efficient code with good use of standard algorithms data structures and libraries strong software engineering skills you should have a strong sense of how to distill application requirements into clean testable and well documented interfaces experience in hands on development debugging and troubleshooting of large software systems culture fit mission alignment if you want to use ai to dramatically improve people s lives we will give you the best possible platform to realize this mission self directed we work best with people that are driven motivated and aspire to greatness are you the sort of person that if you have time on your hands will independently find interesting and useful things to do hungry to learn we are eager to teach you new skills but learning is hard work and this is something we hope you want to do team orientation we work in small fast moving teams we don t believe in lone wolves we watch out for each other and go after big goals together as a team | Natural Language Processing | 1 |
| 1217 | at liftoff we re solving one of the core problems faced by every mobile app growth to do so we build machine learning models and infrastructure that can accurately predict which apps a user will like and how to connect them in a compelling way our systems operate at a scale unseen outside of the largest internet companies processing over a million requests per second and interacting with over a billion users our technology is creative and we have strong product market fit as a result we ve already reached profitability and are seeing tremendous growth as a machine learning engineer at liftoff you will own both the ml models and the underlying software tooling and infrastructure our ml engineer role combines the classic ml scientist and data engineer role at other companies have a closed feedback loop from hypothesis generation to live ab testing with no cross team friction and sub day iteration cycles take on unique modeling challenges not covered in the scientific literature like extreme positive sample sparsity and labelling delay work with modeling techniques at the state of the art of probability prediction as well as a multitude of other ml areas from nlp to cnns become an expert in clojure go and the many other cutting edge open source technologies that maximize our development velocity join a nimble consistently excellent and experienced engineering team former google li ooyala etc desired qualities and experiences very strong coding ability experience in go and clojure is a plus years of industry experience applying machine learning to large scale problems strong core cs fundamentals data structures algorithms architecting systems a passion for quality and excellence and the ability to temper it when necessary to ship sets ego aside in pursuit of finding the best solution no matter where it comes from self motivated and a great ability to hustle b s or higher in computer science phd a big plus we are an equal opportunity employer and value diversity at our company come join our team and help us shape the future of mobile growth | Machine Learning | 1 |
| 2982 | mclean united states of america mclean virginia at capital one we re building a leading information based technology company still founder led by chairman and chief executive officer richard fairbank capital one is on a mission to help our customers succeed by bringing ingenuity simplicity and humanity to banking we measure our efforts by the success our customers enjoy and the advocacy they exhibit we are succeeding because they are succeeding guided by our shared values we thrive in an environment where collaboration and openness are valued we believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results we elevate each other and obsess about doing the right thing our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams together we are on a quest to change banking for good voice machine learning scientist sr manager at capital one data is at the center of everything we do when we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database cutting edge technology in fast forward a few years and this little innovation and our passion for data has skyrocketed us to a fortune company and a leader in the world of data driven decision making department summary the card ml team is working to transform every corner of our business with machine learning to accomplish this goal we use the latest techniques in machine learning deep learning reinforcement learning genetic algorithms and natural language processing and marry them with real time streaming data in the cloud to create best in class enterprise scale ml products we tackle a huge variety of business problems and work with vast quantities of data of every kind role summary as a sr manager of machine learning at capital one you ll be leading a research group that s part of driving the next wave of disruption at a whole new scale using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money time and difficulty in their financial lives we do machine learning research and product development differently at capital one ml scientists aren t siloed in the lab but instead partner closely with software engineers product managers and business stakeholders to discover invent and build at the largest scale ideas may come from internal projects as well as from academic partnerships with world class institutions nlp scientists work on building state of the art speech recognition in noisy environments building models and deriving insights from customer interactions and enabling products that help customers complete tasks via natural language conversation in this role you will apply your expertise in nlp extraction summarization classification understanding generation machine learning or speech processing to guide a research group s agenda and drive critical business outcomes you stay connected to the wider research community as an active contributor the ideal candidate will be technical you are independent and can develop your own algorithms and experiments you have hands on experience developing nlp solutions from concept to production and selecting the right tool for the job at hand you understand modern cloud computing lots of data do not frighten you they present a challenge you are eager to take on you know r scala and or python leader you are an effective mentor leader and research group head able to guide a team through a cohesive research and execution strategy towards a unified business outcome you challenge conventional thinking and traditional ways of operating and you work with stakeholders to identify and improve the status quo innovative you continually research and evaluate emerging technologies you stay current on published state of the art ml methods technologies and applications you ask why explore and openly share your disruptive ideas business minded you can analyze customer needs and drive towards impactful business outcomes basic qualifications master s degree plus years of experience in machine learning or phd plus years of experience in machine learningat least years coding experience with open source programming languages such as r python or scala at least years experience in natural language processing speech recognition or computational linguistics preferred qualifications phd in a machine learning discipline plus years of experience in machine learningat least years experience working with aws azure or similar cloud platformat least years experience developing solutions in python scala or r top tier peer reviewed publications on nlp researchat least year experience working with aws azure or similar cloud platformat least years experience developing enterprise scale solutions that leverage one or more of the following operations research natural language processing machine learning deep learning video image analysis or time series analysis capital one will consider sponsoring a new qualified applicant for employment authorization for this position | Speech Recognition | 1 |
| 1021 | are you excited about building cutting edge tech that powers some of the most impactful recommender systems in the world do you enjoy building systems that scale to hundreds of millions of users if so recommendations is the right home for you who we are the recommendations team serves some of the most impactful features on twitter like the home timeline notifications emails explore and so much more our code operates at massive scale and speed serving billions of requests per day connecting hundreds of millions of active twitter users to real time information about their lives and the world we live in at twitter our mission is to instantly connect users to the information most meaningful to them realizing this involves work in areas such as machine learning applied data science massive scale graph mining recommendation systems information retrieval systems natural language processing etc what you ll do you ll apply machine learning and or data science techniques to a variety of modeling and relevance problems involving users their relationships their tweets and their interests you will participate in the engineering life cycle at twitter including designing distributed systems writing production code conducting code reviews and working alongside our infrastructure and reliability teams although you will work on cutting edge problems this position is not a research position who you are you have a passion for machine learning and improving the ways people consume the world live you re a relevance engineer applied data scientist or machine learning engineer who wants to work on exciting algorithmic and deep infrastructure issues you re experienced solving large scale relevance problems and comfortable building brand new systems to enable future quality improvements knowledgeable in one or more of the following machine learning information retrieval recommendation systems social network analysis designed and evaluated approaches for handling high volume real time data streams a strong technical advocate with a background in java c or scala and python comfortable conducting design and code reviews experienced in operating linux based systems knowledgeable of core cs concepts such as common data structures and algorithms profiling optimization passionate about working with large unstructured and structured data sets for example multi terabyte mm daily transaction volumes experienced in collaborating across multiple teams including analytics product management and operations requirements b s m s or ph d in computer science or equivalent degree and work experience we are committed to an inclusive and diverse twitter twitter is an equal opportunity employer we do not discriminate based on race color ethnicity ancestry national origin religion sex gender gender identity gender expression sexual orientation age disability veteran status genetic information marital status or any legally protected status | Machine Learning | 1 |
| 119 | about secureworks secureworks scwx nasdaq is a global leader in intelligence driven information security solutions we help organizations confidently pursue business goals in a digitally connected world consistently recognized by industry analysts and readers polls we are one of the best in the world at understanding and anticipating threat behavior we see billion events every day across clients in more than countries and our solutions work across all the layers of a client s security environment including different vendor technologies join a talented dedicated and diverse team of researchers analysts engineers consultants and business professionals who are focused on protecting our clients from cyber threats we seek out the brightest minds and empower our teams with the tools and support they need to fight the bad guys and maintain our company s leadership in the cyber security industry uniquely positioned to adapt as the industry evolves we are also proud to be part of the dell technologies family we enjoy competitive compensation and benefits packages and reward and recognize our employees for exceptional results a constant focus on continued learning and growth keeps our team members engaged and excited about what s next we offer flexible work options when available and emphasize the importance of work life balance we know that when our people are rewarded recognized and rejuvenated we win as a team role overview we are looking for a data scientist to advance the state of the art in network defense developing new solutions from research to production on massive multi modal data sets if you re a data scientist with experience applying machine learning to challenging real world problems we need your help to push the boundaries of artificial intelligence and bring the most innovative security products to life you will work on the next generation secureworks platform demonstrating the power that data science can bring to cyber security the ideal candidate should be comfortable giving technical presentations and be able to discuss both theoretical and practical specifics of machine learning algorithms and analytic methodologies the candidate must be able to work effectively in a distributed startup like collaborative team of product managers software engineers and security researchers responsibilities apply data science and machine learning to threat intelligence network situational awareness intrusion detection and prevention and incident response verify and validate the utility of these methods towards definitively improving computer security research the latest algorithms and academic techniques prototype new approaches to extract information from large volumes of structured and unstructured data and correlate events across multiple sources collaborate closely with senior data scientists and software engineers to productize your prototypes and deploy them in secure scalable and fault tolerant solutions across a distributed architecture requirements ba bs degree in computer science machine learning or related technical field years of relevant work experience with machine learning or data science years of software development in r python and or scala thorough understanding of machine learning techniques in high dimensional spaces including kernels ensembles regularization dimensionality reduction and clustering experience with a variety of machine learning algorithms ideally with a focus on information security detection tasks recommender systems or natural language processing excellent verbal and written communication skills ability to convey rigorous mathematical concepts and considerations to non experts passionate about machine learning and a desire to constantly learn as the field evolves preferences ms or phd degree in computer science machine learning or related technical field experience developing end to end solutions on big data platforms such as hadoop or spark experience with a machine learning library such as scikit learn mllib tensorflow caffe keras pytorch torch mxnet etc exposure to packet captures network flows log data malware analysis a plus experience with amazon aws google gcp or similar cloud provider prior experience working at a startup or in an entrepreneurial environment secureworks a dell technologies company is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment all employment decisions at secureworks are based on business needs job requirements and individual qualifications without regard to race color religion or belief national social or ethnic origin sex including pregnancy age physical mental or sensory disability hiv status sexual orientation gender identity and or expression marital civil union or domestic partnership status past or present military service family medical history or genetic information family or parental status or any other status protected by the laws or regulations in the locations where we operate secureworks will not tolerate discrimination or harassment based on any of these characteristics learn more about diversity and inclusion at secureworks here | Natural Language Processing | 1 |
| 3413 | summary posted dec role number the core ml team is looking for an exceptional software engineer to help foster a vibrant ecosystem for machine learning development tools compatible with core ml in this highly collaborative role you will be at the center of multiple efforts to make machine learning an accessible and powerful tool for all developers we are looking for someone with proven deep understanding of software development and familiarity with popular machine learning tools you should have a strong mix of education and practical experience with a real passion for diving in to challenging problems head first key qualifications strong and proven software development skills solid python coding skills history of contributing to open source projects experience with and knowledge of machine learning libraries packages knowledge of deep learning neural networks passion for software architecture api and development tool design creative collaborative and product focused excellent communication skills description we build and maintain machine learning development tools and utilities for interfacing with core ml ensuring high quality and agility with unit integration and performance tests you will design elegant apis easy to use and high quality developer tools to deliver the best experience for core ml you will possess strong skills in software design and programming you are passionate about new developments in machine learning and neural networks and willing to learn about any new popular architectures and layer types you are passionate about developing new features maintaining existing code fixing bugs and contributing to apple s ml development tools strategy education experience bs in computer science with years experience | Neural Networks | 1 |
| 1392 | years designing and deploying machine learning deep learning and or artificial intelligence solutions into enterprise environments years leading senior technical staff in demanding customer contexts significant experience leading distributed teams and functions across multiple locations strong analytical skills with the ability to derive patterns from multiple disparate datasets a passion for learning and for helping others to learn a strong use case orientation with a passion around detecting high impact repeatable solutions and iteratively deploying them into the enterprise history with successfully driving complex nationwide or global cross functional initiatives comfort with assuming high profile leadership roles in demanding highly visible customer situations comfort speaking on highly technical subjects in front of what may be very large audiences ability to execute consistently in a demanding ambiguous high growth context bachelor s degree in computer science or similar field location options open to any aws hub location east coast preferred new york herndon atlanta boston chicago dallas austin seattle san francisco bay area los angeles are you a strategic leader in machine learning deep learning and artificial intelligence have you led customer facing teams of machine learning experts data scientists and data engineers do you have a passion for transforming people and organizations through next generation artificial intelligence techniques would you like a career that gives you opportunities to challenge your abilities to scale organizational growth while helping customers and partners use cloud computing services to build new solutions faster with higher impact to the business and at lower cost at aws we re hiring deeply experienced technical executives to lead field solutions architect teams that collaborate with our customers on building solutions in database data management and analytics the head americas machine learning and artificial intelligence solution architecture role requires executive level leadership experience as well as deep foundational expertise with data science machine learning deep learning and artificial intelligence solutions you ll have a background as an developer and data scientist and be passionate about enabling highly technical senior level field architects grow their careers ways they hadn t thought possible you ll be adept at working cross functionally to set and achieve complex goals with adjacent organizations including business development sales engineering professional services and marketing and you ll have significant experience scaling high performing in demand technical resources | Machine Learning | 1 |
| 1018 | summary posted jan weekly hours role number people with passion can change the world the launch of siri was a defining moment in the history of artificial intelligence hundreds of millions of people now use siri to send a message play their favourite song or even take a selfie now imagine what you could do at apple at apple we re driving a new revolution in the way people and machines interact we are looking for creative machine learning engineers eager to push the boundaries of ai with a single aim to make a real difference to the lives of siri users we re open to speaking to both recent graduates and individuals who have a few years experience we have access to excellent resources including huge compute grids top quality machine learning tools and large quantities of data we work together to push the boundaries of artificial intelligence with a single aim to make a real difference to the lives of the hundreds of millions of siri users key qualifications you have sound understanding of machine learning fundamentals essential you have phenomenal software engineering skills essential you re experienced in the application of ml to conversational dialogue systems desired you have working experience of large scale machine learned systems desired you have publications in top tier machine learning conferences desired you have expertise in reinforcement learning desired description working as part of an extraordinary team including world renowned academics top software engineers and expert machine learning practitioners we are passionate about applying groundbreaking techniques to conversational dialogue siri processes more than a billion requests every week so you will enjoy implementing machine learning at scale and you ll tackle all the complexities involved in taking research work through to production you will love the state of the art resources at apple huge compute grids top quality machine learning tools and large quantities of data will help you improve user facing features you ll implement machine learning at scale with all the complexities involved in taking research work through to production the job will involve data preparation prototyping machine learning algorithms implementing solutions in a production environment tracking metrics and contributing to the reporting of scientific results the overall goal is to make siri more intelligent education experience msc or phd in machine learning or a related topic or equivalent practical experience | Machine Learning | 1 |
| 996 | technical lead team advanced data processing location pittsburgh pa what we do company we provide an ai software platform that allows enterprises to design build experiment customize operate and own vertical ai solutions in a wide range of industries and areas such as healthcare industrial manufacturing and utilities financial services telecommunications autonomous driving and beyond petuum lets enterprises easily understand and apply ai to gain deep insight for better decision making and improved productivity and efficiency our mission is to enable organizations to own build and become informed users of their ai solutions without relying on expensive talents team the adp team is responsible for the data refinery infrastructure that fuels the ai ml models developed on petuum s platform product we are extending our system with more data sources and in more formats as well as with more data transformations particularly we distinguish our offering with ai model based transformations to enable fast and comprehensive data understanding and automatic data processing and eventually to power user friendly experience you will work with a cross functional team of world class ux designers software engineers and al ml scientists to enable use cases for our customers what you will do provide technical leadership and drive for key results design architect and prototype key features lead the implementation of features with cross functional teams lead the development of sound engineering infrastructure and process maintain high quality code base which is well factored performant and robust collaborate closely with product managers and other team members across divisions to initiate new features mentor junior engineers on best software development practices recruit and retain talent in the team to both grow the team as well as to maintain a productive working culture minimal travel to various locations to support the petuum soverall mission other duties as assigned what you ve already done you have a bachelor s degree in computer science or related quantitative field an advanced degree or equivalent practical work experience is a plus you have years of work experience years of software development experience in one or more object oriented languages including python java c or c years of experience with data processing machine learning and building scalable products or services years of experience using machine learning libraries or platforms such as tensorflow caffe cntk pytorch scikit learn or ml lib for production or commercial products in the areas such as machine learning recommendation systems pattern recognition data mining or ai years of experience leading development teams and data engineers hands on with coding and doing code reviews with the team proven ability to translate insights into business recommendations and then into products experience with filesystems server architectures and distributed systems is highly preferred experience with opensource software development is highly preferred startup experience is a plus what you already know languages sql java bash shell python scala experience with c c or r is a plus frameworks libraries tensorflow spark hadoop experience with torch pytorch samza caffe or storm is a plus databases sql server or oracle aws cloud storage or microsoft azure storage or google cloud storage experience with mongodb cassandra ibm db amazon redshift apache hive or google bigquery is a plus platforms experience with windows desktop server openstack gcs aws firebase azure google cloud platform app engine ibm cloud or watson or cuda is a plus tools docker kubernetes experience with github flink hadoop or kafka is a plus what we offer for your valuable work petuum offers medical dental vision life disability paid time off parental leave and more petuum is a welcoming workplace that considers applicants for employment without regard to and does not discriminate on the basis of gender race protected veteran status disability or any other legally protected status petuum is an at will employer | Pattern Recognition | 1 |
| 2355 | job category products and technology job details senior lead software engineer machine learning service cloud location san francisco if you are currently in college or have less than a year of experience please check out future force job opportunities in salesforce https www salesforce com company careers university recruiting opportunity description this opportunity is to work in the engineering team for intelligent agent for service cloud we are building the best ai ml products in the business by leveraging our unique wealth of data and our machine learning deep learning and nlp excellence salesforce is investing heavily to disrupt the multi billion dollar service market this opportunity puts you at the heart of that effort we work very nimbly and are building this product from the ground up in a start up like environment salesforce is looking for a machine learning engineer to lead in the service cloud einstein intelligent agent organization we need someone who is technically strong highly collaborative and passionate about building data product and working closely with our customers you will work with a team of exceptional software engineers and data engineers working on applications written in enterprise java stack on the core platform and on our ai machine learning platform using scala spark we work in a highly collaborative environment and you will liase with a highly cross functional team comprised of data scientists software engineers ux experts product managers to build ai apps we value execution transparent communication continuous learning feedback and making learning fun responsibilities develop machine learning software data pipelines and models that can generalize across hundreds of thousands of salesforce customers but can automatically adapt to each of their individual features bring machine learning models into production by running experiments at scale on customer datasets build multi tenant restful services for low latency scoring inferences at scale and training massive amounts of data partner with product managers and data scientists to understand customer requirements and design prototypes and bring ideas to production contribute to the long range plan and build the technology for taking the einstein platform to hundreds of thousands of salesforce customers and hundreds of billions of predictions per day build large scale data pipelines and computation systems that process massive amount of data containerize training and serving code and expose into an endpoint service brainstorm data product ideas with the data scientists that built some of the most exciting data products that hundreds of millions people use every day work with fellow engineers building out other parts of the infrastructure effectively communicating your needs and understanding theirs develop and contribute to open source ml systems such as apache spark and tensorflow to train and serve models building intelligence into our services to make them run smarter required skills you have industry experience with writing code e g spark python scala java and taking machine learning models to production preference for years of industry experience you have to love data this is what we do we are looking for people who are excited about different and unique data sets and all the ways that they could be used in order to improve user experience strong customer focus and service orientation you are metrics driven and run end to end experiments to evaluate model efficacy you have to want to make a difference we don t like status quo you have to be a very quick learner we face new challenges every day anything that ranges between the operating model of a financial services companies to how to make spark work with the s file system hands on experience with applying machine learning techniques to different datasets experience in building software on aws cloud computing such as emr sagemaker and s and heroku experience writing and running production level code e g scala spark python java proven track record in building products on some production grade big data systems such as spark kafka storm and hadoop preferred requirements particular expertise in spark and scala have experience with mllib have experience with tensorflow framework history of contributions to hadoop spark storm hadoop or similar open source projects participate in meaningful conversations with your team members about really important topics such as should the cuteness of panda bears be a factor in their survivability is love a decision tree or a regression model how far ahead would society be today if we had fingers instead of posting statement salesforce com and salesforce org are equal employment opportunity and affirmative action employers qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender perception or identity national origin age marital status protected veteran status or disability status headhunters and recruitment agencies may not submit resumes cvs through this web site or directly to managers salesforce com and salesforce org do not accept unsolicited headhunter and agency resumes salesforce com and salesforce org will not pay fees to any third party agency or company that does not have a signed agreement with salesforce com or salesforce org pursuant to the san francisco fair chance ordinance and the los angeles fair chance initiative for hiring salesforce will consider for employment qualified applicants with arrest and conviction records | Apache Spark | 1 |
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| 537 | job summary the data scientist will be responsible for designing and implementing analytical models conducting statistical analysis and creating various machine learning based tools and processes such as recommendations engines prediction systems forecast models and simulations to improve and support state services and decision making this position is governed by state and federal laws administrative rules and regulations and agency policy typical functions works with business domain experts to identify needs and opportunities form and test hypotheses and redesign and automate business processes using machine learning identifies ways to extract additional value and insights from state data assets designs evaluates and implements analytic models metrics and prototypes monitors the performance of analytic models and performs tuning and retraining as necessary processes cleanses and verifies the integrity of data used for analysis evaluates new data sources for acquisition and ingestion presents results of analyses to executive business and technical audiences in verbal and written communications and presentations works directly with data engineer s to implement analytics models at enterprise scale performs other duties as assigned knowledge abilities and skills knowledge of a wide range of analytical tools and techniques knowledge of statistics and the ability to apply statistical models programmatically to real world business scenarios knowledge operations research process engineering six sigma or other applications of statistical methods for business process improvement substantial knowledge of and experience with enterprise relational database management systems rdbms expert knowledge of structured query language sql and the ability perform forecasts simulations allocations schema transformations and other complex analyses purely in sql expert knowledge of machine learning algorithms and techniques knowledge or r and python knowledge of graph databases knowledge of text mining knowledge of process mining knowledge of spatial analytics knowledge of information visualization and data visualization tools knowledge of relevant business domains such as finance healthcare or public safety ability to train test evaluate implement monitor and tune analytic models and algorithms ability to learn new business domains quickly ability to discover and understand complex real world systems and business processes and represent them as functional analytic models to support descriptive diagnostic predictive and prescriptive analytics ability to effectively communicate with non technical business stakeholders to gather problem requirements and domain knowledge and to clearly present results ability to produce effective data visualizations and experience with data storytelling ability to lead others and work with groups and independently ability to work cooperatively across a complex organization and numerous stakeholders minimum education and or experience the formal education equivalent of a master s degree in data science operations research mathematics econometrics statistics computer science systems engineering or a related field plus five years of it experience additional requirements determined by the agency for recruiting purposes require review and approval by the office of personnel management other job related education and or experience may be substituted for all of part of these basic requirements except for certification or licensure requirements job type full timeexperience data visualization years preferred data mining years preferred it years preferred education master s preferred location little rock ar preferred work authorization united states preferred | Text Mining | 2 |
| 1616 | we help some of the leading financial institutions in the world stay ahead of key regulatory requirements in the banking and capital markets asset management and insurance spaces we aim to deliver industry leading regulatory and technology insights to help our clients mitigate risks to their business at ey we hire professionals from around the world who have a diverse range of financial services regulatory and technology backgrounds this allows us to provide a broad range of advisory services in areas such as traded products and wealth management financial crimes consumer compliance and regulatory transformation the opportunity you ll focus on technology improvement in a broad range of compliance areas helping global financial services firms with their strategic enhancements of it systems or operational processes remediation of data quality issues regulatory issues and findings your key responsibilities you ll have practical experience in developing optimization functions building predictive models or automating processes through the use of analytics and who possess experience in the practical application of techniques such as supervised and unsupervised machine learning neural networks text analytics natural language processing image recognition and artificial intelligence skills and attributes for success able to understand various data structures and common methods in data transformation pattern recognition and predictive modeling skills able to apply data mining techniques perform statistical analysis and build high quality predictive systems involved in running analytical experiments in a methodical manner able to regularly evaluate alternate models via theoretical approaches possess an understanding of machine learning techniques and algorithms such as k nn na ve bayes svm decision trees random forests etc possess documentation skills brd frd and able to document client inputs analysis findings etc to qualify for the role you must have a bachelor s degree in statistics data analytics computer science mathematics engineering or applied sciences proficiency in one of the following languages is recommended r sas python pmml stata or spss a foundation in one or more of the following database management systems is preferred pl sql hadoop hive spark cassandra ideally you ll also have experience working with visualization tools such as spotfire tableau and qlikview experience in working with one or more technology platforms in the financial services compliance or financial crime domains including but not limited to the following mantas actimize sas aml netreveal fircosoft norkom smarts lexisnexis additional experience with java c or other programming preferred certifications certified anti money laundering specialist cams certified fraud examiner certification cfec what we look for ey offers a superb working environment thanks to our commitment to flexibility inclusiveness and development our employees have different backgrounds and skills but similar values we look for high performers who consistently deliver quality work while continually looking for ways to improve we want you to have a clear sense of personal and professional accountability and know how to build relationships by doing the right thing this often takes people with the courage to lead and who inspire and motivate others in times of both prosperity and challenge what working at ey offers we offer a competitive compensation package where you ll be rewarded based on your performance and recognized for the value you bring to our business in addition our total rewards package includes medical and dental coverage both pension and k plans a minimum of days of vacation plus ten observed holidays and three paid personal days and a range of programs and benefits designed to support your physical financial and social well being plus we offer opportunities to develop new skills and progress your career a collaborative environment where everyone works together to create a better working world excellent training and development prospects both through established programs and on the job training about ey as a global leader in assurance tax transaction and advisory services we hire and develop the most passionate people in their field to help build a better working world this starts with a culture that believes in giving you the training opportunities and creative freedom to make things better so that whenever you join however long you stay the exceptional ey experience lasts a lifetime if you can confidently demonstrate that you meet the criteria above please contact us as soon as possible join us in building a better working world ey an equal employment opportunity employer females minorities protected veterans disabled values the diversity of our workforce and the knowledge of our people | Text Analytics | 2 |
| 1506 | with streamlined access to petabytes of science ready geospatial data and the computing power to go with it the applied science team at descartes labs is building a digital twin of the earth we model our planet by combining sensor data with a mix of physical statistical and machine learning modeling approaches we re looking for a hydrologist or geomorphologist to model hydrologic systems provide value to our clients and develop new approaches for working with large amounts of geospatial data responsibilities use our archive of satellite imagery weather data and other geospatial datasets to model hydrologic systems at a variety of scales creatively combine satellite imagery ancillary data and client data to answer tough science questions and solve client problems interact with clients to brainstorm methodologies and present results work with our engineering team to continuously improve our platform required skills experience bachelor s degree in a relevant scientific field e g hydrology geomorphology earth sciences applied mathematics strong statistical background experience with remote sensing and spatial data demonstrated proficiency in a scientific programming language preferably python strong written and verbal communication skills self motivated and able to work independently pluses advanced degree ms phd in a relevant field experience with d and d wave equation models experience with numpy sklearn scikit image peer reviewed published journal articles on related topics experience with version control software e g github mercurial subversion etc experience with cloud and or distributed computing | Machine Learning | 2 |
| 411 | the data science analytics practice group at capgemini is expanding its footprint rapidly as part of the fastest growing digital practice within capgemini we work with the latest advanced analytics machine learning and big data technologies to extract meaning and value from data in a number of different industries ranging from media entertainment to life sciences and everywhere in between our team has worked with geospatial data on social media sentiment analysis built recommendation systems created image classification algorithms solved large scale optimization problems and harnessed the massive influx of data generated by the iot the data science analytics group is the fastest growing digital practice at capgemini demanding agile innovation as part of the data science analytics group you will work in a collaborative environment with internal and client resources to understand key business goals build solutions and present findings to client executives while solving real world problems if you are passionate about solving problems in the realm of cognitive computing big data and machine learning while utilizing business acumen statistical understanding and technical know how the data science analytics practice group at capgemini is the best place to grow your career role responsibilities work in collaborative environment with global teams to drive client engagements in a broad range of industries aerospace defense automotive banking consumer products retail financial services healthcare high tech industrial products insurance life sciences manufacturing public sector telecom media entertainment and energy utilities quickly understand client needs develop solutions and articulate findings to client executives provide data driven recommendations to clients by clearly articulating complex technical concepts through generation and delivery of presentations analyze and model both structured and unstructured data from a number of distributed client and publicly available sources perform eda and feature engineering to both inform the development of statistical models and generate improve model performance and flexibility design and build scalable machine learning models to meet the needs of given client engagement requirements year s professional work experience as a data scientist or on advanced analytics statistics projects master s degree from top tier college university in computer science statistics economics physics engineering mathematics or other closely related field phd preferred strong understanding and application of statistical methods and skills distributions experimental design variance analysis a b testing and regression statistical emphasis on data mining techniques bayesian networks inference chaid cart association rule linear and non linear regression hierarchical mixed models multi level modeling and ability to answer questions about underlying algorithms and processes experience with both bayesian and frequentist methodologies mastery of statistical software scripting languages and packages e g r matlab sas python pearl scikit learn caffe sap predictive analytics kxen ect knowledge of or experience working with database systems e g sql nosql mongodb postgres ect experience working with big data distributed programming languages and ecosystems e g s ec hadoop mapreduce pig hive spark sap hana ect expertise in machine learning algorithms and experience using the following ml techniques logistic regression decision trees random forests gradient boosting svms time series kmeans clustering nmf preferred experience with nlp graph theory neural networks rnns cnns sentiment analysis and azure ml experience building scalable data pipelines and with data engineering feature engineering preferred experience with web scrapping experience building and deploying predictive models experience with powerpoint and ability to clearly articulate findings and present solutions excellent team oriented and interpersonal skills candidates should be flexible willing to work across this delivery landscape which includes and not limited to agile applications development support and deployment applicants for employment in the us must have valid work authorization that does not now and or will not in the future require sponsorship of a visa for employment authorization in the us by capgemini qualifications applications consultants have expertise in a specific technology environment they are responsible for software specific design and realization as well as testing deployment and release management or technical and functional application management of client specific package based solutions e g sap oracle these roles also require functional and methodological capabilities in testing and training required skills and experience you are learning and developing the knowledge technical skills and core consulting behaviors required to succeed in application services you learn an appropriate methodology and acquire knowledge of a business domain and a package based solution you demonstrate flexibility and versatility in meeting objectives and should be able to manage your workload and update management on task progress you should already demonstrate progressing skills in building solutions and in optimizing and improving a client s applications and systems qualification minimum years experience bachelor s degree should have progressing skills in package configuration should have baseline skills in business analysis business knowledge testing architecture knowledge technical solution design and vendor management capgemini is an equal opportunity employer encouraging diversity in the workplace all qualified applicants will receive consideration for employment without regard to race national origin gender identity expression age religion disability sexual orientation genetics veteran status marital status or any other characteristic protected by law this is a general description of the duties responsibilities and qualifications required for this position physical mental sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed whenever necessary to provide individuals with disabilities an equal employment opportunity capgemini will consider reasonable accommodations that might involve varying job requirements and or changing the way this job is performed provided that such accommodations do not pose an undue hardship click the following link for more information on your rights as an applicant http www capgemini com resources equal employment opportunity is the law about capgemini a global leader in consulting technology services and digital transformation capgemini is at the forefront of innovation to address the entire breadth of clients opportunities in the evolving world of cloud digital and platforms building on its strong year heritage and deep industry specific expertise capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations capgemini is driven by the conviction that the business value of technology comes from and through people it is a multicultural company of team members in over countries the group reported global revenues of eur billion about billion usd at average rate visit us at www capgemini com people matter results count | Natural Language Processing | 2 |
| 926 | req id experience level professional other location s n a come grow with us at capital group how we work is defined by shared values that include absolute integrity respect and collaboration but it s more than that it s smart and highly driven people united in purpose to serve our investors and one another bring your energy and unique perspective to capital and you ll have the opportunity to grow with us professionally personally and financially you ll be part of a team that genuinely cares about helping you succeed you ll work alongside talented colleagues many of whom build long careers while progressing through multiple roles establishing lifelong friendships and making a difference in our communities in return for your contributions you ll receive premier compensation and benefits and a company funded retirement plan that ranks among the most generous the advanced analytics group reports into the north america distribution insights analytics organization as a new function driving business value through the use of internal and external data predictive analytics and data science the group focuses on providing cutting edge data and analytic solutions which will be used to support sales and marketing efforts within north america distribution based in los angeles as a senior data scientist you will be experienced with and passionate about using data to drive business strategy tactical program recommendations and identify new areas of roi through the use of the firms data assets you are a self starter with a high degree of rigor organization and discipline to get things done you are able to communicate effectively in delivering complex data driven findings across the distribution group the ideal candidate is an independent solution oriented thinker with a strong background processing huge data sets applying analytical rigor and statistical methods and driving toward insights and solutions responsibilities leverage data to solve strategic tactical structured and unstructured business problems analyze advisor investor and economic trends that impact sales marketing business performance and recommend ways to improve outcomes create the capability to study and analyze structured and unstructured data data from multiple internal and external sources to enable pattern seeking and analysis create a pattern recognition process by identifying and integrating internal and external sources of information analytical tools and data management and manipulation tools perform complex data manipulation and analytics while working with business functions to identify and to respond to complex technical and business problems develop statistical forecasting models and design experiments to answer targeted questions interpret and communicate analytic results to analytical and non analytical business partners and senior managers qualifications degree in statistics mathematics machine learning operations research computer science econometrics or related field master s degree highly preferred years of relevant experience with a proven track record of leveraging analytics and large amounts of data to drive significant business impact passion for learning and innovating new methodologies in the intersection of applied math probability statistics computer science proficient at translating unstructured business problems into an abstract mathematical framework expertise in predictive analytics statistical modeling data mining algorithms must have knowledge experience in some all of the following multivariate regression logistic regression support vector machines bagging boosting decision trees lifetime analysis common clustering algorithms optimization stochastic processes proficiency in at least one declarative programming language such as sql or hiveql one scripting language such as python ruby or perl and one statistical analysis language such as r sas or spss experience with distributed databases and query languages like hive pig sawzall and or general map reduce computing is a plus knowledge of common data structures and ability to write efficient code in at least one language is a plus preferably java c python or perl company overview founded in capital group is one of the world s largest and most trusted investment management companies and home to the american funds we manage more than us trillion in assets and our associates make our clients their first priority every day when we do our job right millions of investors around the world fulfill their dreams and financial goals from home ownership and higher education to a comfortable retirement our long term investment results and outstanding service set us apart from our competitors while our workplace sets us apart from other employers we are an equal opportunity employer which means we comply with all federal state and local laws that prohibit discrimination when making all decisions about employment as equal opportunity employers our policies prohibit unlawful discrimination on the basis of race religion color national origin ancestry sex including gender and gender identity pregnancy childbirth and related medical conditions age physical or mental disability medical condition genetic information marital status sexual orientation citizenship status aids hiv status political activities or affiliations military or veteran status status as a victim of domestic violence assault or stalking or any other characteristic protected by federal state or local law | Pattern Recognition | 2 |
| 3125 | at the nba we re passionate about growing and celebrating the game of basketball through the intensity of the game and the amazing athletic skill of our players we deliver excitement to hundreds of millions of fans around the world as a global sports and media business the nba is so much more while basketball operations runs the league s on court activities other departments manage relationships with television and digital media partners develop marketing partnerships with some of the world s most recognizable companies oversee the licensing of nba merchandise and handle a wide range of responsibilities that drive the nba s success the national basketball association is seeking an experienced hands on data science leader to join the analytics and data science team in customer data strategy cds in new york he she will focus on elevating the nba s use of analytics predictive modeling and data visualization to take the league and our teams and partners to the next level with our vision of deepening engagement with fans both prospective and existing that builds a lifetime love of the game the role involves leveraging current varied data streams and corralling new ones to inform a single view of the fan across the nba s global touchpoints including both on and offline platforms and channels s he will have or more years of practical experience in the analytics space including or more years of people leadership the candidate will lead a team of data scientists in a variety of advanced analytics projects and is charged with the task of creating and managing a suite of predictive models e g propensity models topic models subscriber churn models estimations of fan value marketing mix and attribution models that enables the nba our teams and our partners to establish greater engagement with our fans the role reports to avp analytics and data science within customer data strategy major responsibilities lead advanced analytic projects that solve complex business problems for the nba teams and partners partner with leadership to define prioritize and execute use cases that drive measurable lift to fan engagement revenue and partner value manage and enhance inventory of existing propensity and segmentation models to help the league teams and partners deliver to revenue growth objectives create new predictive models to grow fan engagement for the league teams and partners responsible for managing members of the data science team mentors and provides thought leadership throughout the league and team analytics community prepares presentations that clearly communicate project findings to business partners required skills knowledge the candidate must have a sufficient understanding of and practical experience with classic statistical modeling techniques e g logistic regression cart k means clustering and machine learning algorithms e g gradient boosting neural networks random forest comfort with large ambiguous streams of data across different formats and entry points hands on experience processing large datasets hands on experience with cloud environments e g aws azure and big data technologies e g hadoop spark experience developing high value features hands on experience deploying models in real time environments expert level python r and sql coding experience with tensorflow or microsoft cognitive tool kit required excellent communication skills with ability to explain complex outcomes to business partners that may not have extensive quantitative backgrounds ability to work within tight deadlines and changing priorities experience needed a minimum of years of practical business intelligence and data science experience preferably working with a consulting firm or in the entertainment publishing or ad tech industries experience working with advertising and digital clickstream data a plus educational background required ph d or master s degree in statistics mathematics operations research economics or related quantitative field we consider applicants for all positions on the basis of merit qualifications and business needs and without regard to race color national origin religion sex gender identity age disability alienage or citizenship status ancestry marital status creed genetic predisposition or carrier status sexual orientation veteran status familial status status as a victim of domestic violence or any other status or characteristic protected by applicable federal state or local law | Neural Networks | 2 |
| 3478 | contract suntechpros is looking for a data scientist for a contract opportunity in jacksonville fl for months candidates with authorization to work for any employer and not requiring sponsorship would be preferred remote working option available candidate should have years of experience in some form of sql e g hive postgresql mssql etc and either python or r for statistical application development experience in a hadoop environment and or statistical development tool e g rapidminer knime a plus core responsibilities develop and communicate a deep understanding of client needs perform analytical deep dives to identify problems opportunities and specific actions required develop reproducible and deployable statistical applications on platform such as r python spark using techniques such as regression svm and neural networks implementing processes that improve and lead to greater data quality conducting statistical analyses to develop strategies documenting all processes and research building new algorithms and model training executing projects involving analytics identifying data patterns and trends analyzing data to develop predictive models creating managing and maintaining analytically rigorous data possessing a solid machine learning foundation proven record of successful statistical product delivery ability to execute health insurance use cases via statistical applications such as r or python efficiently access data via multiple vectors e g nfs ftp ssh sql sqoop flume spark significant experience with sql and working with large datasets required work with cross functional teams including product management engineering and senior executives to rapidly execute and iterate noting anomaly detection and running diagnostics performing graphical model analysis strong verbal and written communication skills if interested please send resume with subject line data scientist to anita suntechpros com | Neural Networks | 2 |
| 1234 | zulily is a retailer obsessed with bringing our customers something special every day unique products from up and coming brands are featured alongside favorites from top brands including clothing home decor accessories toys and gifts giving customers something new to discover each morning at an incredible price we are fast paced innovative and metric driven with a team passionate for delighting our customers whether you want to work with incredible product selection develop smart marketing plans help us in our pursuit of faster fulfillment or do something else awesome in between we have a place for you with locations in seattle reno columbus and bethlehem our team is excited to be changing the way people shop every day and we are just getting started zulily is seeking an intellectually curious collaborative data expert to work as a statistician data miner and business analyst for the marketing organization as a marketing data scientist you will use statistical analysis and data mining techniques to better understand how we can improve our customer acquisition strategy along with maximizing future profits from our existing base you will need to aggregate complex and detailed findings to all levels of marketing management and be comfortable presenting and defending results when necessary more details of the job partner with marketing analysts and other marketing business partners to build advanced models and tests that are applicable to current strategies present findings and recommendations of models to directors and execs in a clear and concise fashion drive real change in marketing tactics using data backed results drive prioritization in various tech orgs to push models into production with support from the director of marketing analytics build and refine complex statistical models that predict behavior and improve over time with additional data and learnings identify insights in customer and marketing data and use quantitative analysis to answer complex questions utilize background in statistics and probability machine learning and working with large datasets to build models that support marketing business goals become an expert in languages such as r python julia etc write and interpret complex sql and hive ql queries to inform data mining and modeling activities be a self starter and create data backed recommendations for where there are flaws or gaps in current marketing strategies qualifications years of industry experience with a proven track record of using data analysis to drive significant business impact particularly in big data environments interest and proficiency in answering complex business questions using statistics machine learning and matrix algebra expert in predictive modeling using both supervised and unsupervised learning techniques must have knowledge and experience in the following generalized linear models ensemble models resampling methods model validation and testing dimensionality reduction clustering and bayesian approaches to data analysis strong proficiency with at least one language for data analysis such as r or python excellent capabilities with the basic analysis tools of sql and excel demonstrated academic achievement and an active research agenda in relevant topic areas ability to communicate modeling procedures and results to non experts education master s degree in statistics math engineering operations research computer science or another quantitative discipline zulily is an equal opportunity employer zulily participates in e verify zulily will provide the social security administration ssa and if necessary the department of homeland security dhs with information from each new employee s i to confirm work authorization federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities please tell us if you require a reasonable accommodation to apply for a job examples of reasonable accommodation include making a change to the application process providing documents in an alternate format using a sign language interpreter or using specialized equipment you may reach us at | Machine Learning | 2 |
| 2270 | job description job description i is seeking a staff level data management engineer to become a key member of the mda eso digital modeling and simulation team the qualified candidate will be responsible for supporting the integration test and verification of large scale data storage environments to support the missile defense agency s digital modeling simulation programs this includes working with many of the following technologies data pipelines data services operational data stores data warehouses data marts big data stores data mining big data visualization and experiment designs the right individual will display both a passion for data science and leading a cultural change in how data is used throughout the organization regarding these efforts roles and responsibilities the candidate will support data collection planning data quality verification and data quality reporting for a cloud based simulation environment that is planned to increase to monthly volumes of thousands of simulation runs producing hundreds of terabytes of data perform duties associated with providing apache hadoop data lake for storage and big data analytics assist in the design and implementation of a data governance framework will have a key role in establishment and administration of a comprehensive enterprise metadata management program using hcatalog and related tools the candidate will create automated methods for checking data against a variety of data format and quality standards such as bmds tactical message formats the candidate will work in a collaborative role with software development teams system integrators analysts network architect cybersecurity personnel and configuration management personnel define and analyze data requirements needed to support bmds technical performance analysis define and analyze data requirements needed to support system performance analysis create and maintain both a logical and physical data model frequently provide written and verbal data management metrics to mda government helps in the development of processes and tools to monitor and analyze model performance and data accuracy partners with technology teams to implement appropriate technical approaches for integration test and verification helps in the development of custom data models and algorithms to apply to data sets including cloud based data solutions using new or emerging technologies minimum qualifications a bachelor of science degree in data management computer science business information management management information systems or related technical discipline plus five years directly related experience additional relevant experience will be considered in lieu of a degree this position requires the selected candidate have an active dod secret clearance with the ability to obtain a ts sci clearance demonstrated data management technical skillset combined with ability to promote new concepts to a diverse set of government customers experience in established and emerging data technologies such as columnar apache hadoop apache spark mapreduce high performance computing cluster hpcc hydra or similar experience performing system administration in a linux environment familiarity with designing appropriate metadata schema for multiple intended uses experience writing data management plans that include data descriptions protocols workflows metadata standards data storage and backup access sharing strategy data preservation plan security plan and roles and responsibilities experience performing automated data quality verification against large sets of established goals and providing related reports at levels of detail appropriate for the intended audience candidate will work as part of a multi contractor government team and must be able to complete tasks with little direct supervision position requires the candidate possess dod secret clearance or higher in order to access classified information inability to maintain clearance will result in candidate being ineligible for this position desired qualifications big data related certifications such as certified data management professional cdmp microsoft certified solutions expert mcse data management and analytics ibm certified data engineer big data or certificate in engineering excellence big data analytics and optimization cpee experience in shell scripting languages bash awk sed perl python etc knowledge of a variety of machine learning techniques clustering decision tree learning artificial neural networks etc knowledge using mysql and or other query tools to gather and interrogate large data sets familiarity with bmds components kill chain terminology and tactical message formats familiarity with commercial cloud services such as amazon web services and microsoft azure familiarity with virtualized environments such as vmware familiarity with modeling and simulation experience with batch data analytics platforms for structured and unstructured data one or more years in a database administrator role excellent verbal and written communications skills this position is located at schriever afb co some travel may be required | Apache Spark | 2 |
| 173 | we are looking for an experienced data scientist with exceptional product sense to develop machine learning and deep learning models and algorithms that create unique insight for customers the ideal candidate should be an experienced data scientist that can automate scoring using machine learning techniques build recommendation systems and select the correct data points for analysis from the large open source and proprietary data sets you must have strong experience using a variety of data mining data analysis methods and tools you are focused on results a self starter and have demonstrated success for using analytics to drive the understanding growth and success of a product responsibilities include designing and deploying deep learning algorithms and predictive models developing custom data models and algorithms to apply to data sets assessing the effectiveness and accuracy of new data sources and data gathering techniques developing processes and tools to monitor and analyze model performance and data accuracy requirements qualifications this is who we are looking to hire ms degree in computer science statistics applied mathematics computational linguistics artificial intelligence or related areas preferred plus years of hands of working experience in one or more of the following areas natural language processing machine learning question answering text mining information retrieval distributional semantics data science knowledge engineering experience in productization of machine learning algorithms and the ability to deliver data science components that are part of successful commercial products at a minimum a working knowledge of nlp graph theory and ai fluency in one or more programming languages python java r etc experience with statistical data analysis experimental design and hypotheses validation readiness to collaborate with engineering teams to develop prototypes and software products an understanding of visualization software tableau d mixpanel flurry google analytics etc location menlo park ca to apply please submit your resume cover letter and salary requirement for consideration eoe m f vet disabled | Natural Language Processing | 2 |
LSA with TF-IDF¶
In [119]:
print("Number of features: %d" % X_train_tfidf.get_shape()[1])
Number of features: 24595
In [120]:
from sklearn.decomposition import TruncatedSVD
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import Normalizer
#Our SVD data reducer. We are going to reduce the feature space to about 10% of the original.
svd= TruncatedSVD(2100)
lsa = make_pipeline(svd, Normalizer(copy=False))
# Run SVD on the training data, then project the training data.
X_train_lsa = lsa.fit_transform(X_train_tfidf)
X_test_lsa = lsa.transform(X_test_tfidf)
variance_explained=svd.explained_variance_ratio_
total_variance = variance_explained.sum()
print("Percent variance captured by all components:",total_variance*100)
#Looking at what sorts of job descriptions our solution considers similar, for the first five identified topics
jobs_by_component=pd.DataFrame(X_train_lsa, index=list(X_train))
for i in range(5):
print('Component {}:'.format(i))
print(jobs_by_component.loc[:,i].sort_values(ascending=False)[0:10])
import time
print(time.time())
Percent variance captured by all components: 97.12987974510179 Component 0: (0, 1)\t1\n (0, 3)\t2\n (0, 10)\t1\n (0, 11)\t1\n (0, 15)\t4\n (0, 16)\t1\n (0, 17)\t1\n (0, 18)\t1\n (0, 23)\t1\n (0, 24)\t4\n (0, 26)\t1\n (0, 29)\t1\n (0, 31)\t1\n (0, 32)\t1\n (0, 33)\t7\n (0, 36)\t4\n (0, 37)\t8\n (0, 38)\t4\n (0, 39)\t2\n (0, 46)\t1\n (0, 47)\t1\n (0, 48)\t2\n (0, 49)\t5\n (0, 50)\t1\n (0, 52)\t1\n :\t:\n (0, 866)\t2\n (0, 867)\t2\n (0, 868)\t1\n (0, 871)\t3\n (0, 874)\t4\n (0, 880)\t2\n (0, 883)\t1\n (0, 885)\t1\n (0, 886)\t1\n (0, 894)\t1\n (0, 899)\t1\n (0, 902)\t4\n (0, 906)\t4\n (0, 908)\t1\n (0, 909)\t2\n (0, 910)\t1\n (0, 914)\t2\n (0, 915)\t5\n (0, 921)\t1\n (0, 926)\t1\n (0, 927)\t1\n (0, 929)\t1\n (0, 932)\t1\n (0, 934)\t1\n (0, 935)\t1 0.635549 (0, 8)\t1\n (0, 10)\t1\n (0, 15)\t1\n (0, 21)\t1\n (0, 36)\t3\n (0, 37)\t2\n (0, 38)\t1\n (0, 52)\t1\n (0, 53)\t2\n (0, 56)\t1\n (0, 58)\t2\n (0, 61)\t3\n (0, 74)\t1\n (0, 82)\t1\n (0, 91)\t6\n (0, 94)\t1\n (0, 101)\t4\n (0, 102)\t1\n (0, 121)\t1\n (0, 130)\t2\n (0, 142)\t1\n (0, 149)\t1\n (0, 157)\t1\n (0, 160)\t1\n (0, 174)\t1\n :\t:\n (0, 842)\t1\n (0, 844)\t1\n (0, 847)\t1\n (0, 849)\t1\n (0, 852)\t1\n (0, 857)\t1\n (0, 864)\t1\n (0, 866)\t1\n (0, 869)\t1\n (0, 875)\t1\n (0, 876)\t1\n (0, 879)\t1\n (0, 882)\t1\n (0, 888)\t1\n (0, 893)\t1\n (0, 894)\t1\n (0, 897)\t1\n (0, 898)\t2\n (0, 905)\t1\n (0, 912)\t1\n (0, 921)\t1\n (0, 923)\t3\n (0, 927)\t1\n (0, 928)\t2\n (0, 940)\t1 0.547492 (0, 1)\t1\n (0, 7)\t1\n (0, 24)\t2\n (0, 25)\t3\n (0, 28)\t1\n (0, 35)\t2\n (0, 36)\t1\n (0, 37)\t2\n (0, 39)\t2\n (0, 43)\t1\n (0, 49)\t2\n (0, 51)\t2\n (0, 53)\t1\n (0, 61)\t1\n (0, 65)\t1\n (0, 91)\t1\n (0, 111)\t1\n (0, 120)\t1\n (0, 121)\t4\n (0, 131)\t1\n (0, 135)\t1\n (0, 137)\t1\n (0, 184)\t1\n (0, 186)\t1\n (0, 187)\t2\n :\t:\n (0, 785)\t1\n (0, 787)\t1\n (0, 790)\t1\n (0, 792)\t1\n (0, 802)\t1\n (0, 811)\t4\n (0, 812)\t1\n (0, 824)\t2\n (0, 831)\t1\n (0, 832)\t1\n (0, 836)\t2\n (0, 837)\t1\n (0, 849)\t1\n (0, 856)\t1\n (0, 861)\t1\n (0, 866)\t1\n (0, 869)\t1\n (0, 874)\t1\n (0, 876)\t1\n (0, 893)\t1\n (0, 902)\t1\n (0, 906)\t1\n (0, 910)\t1\n (0, 923)\t2\n (0, 928)\t1 0.529171 (0, 1)\t3\n (0, 4)\t2\n (0, 5)\t2\n (0, 12)\t2\n (0, 13)\t2\n (0, 15)\t1\n (0, 21)\t1\n (0, 23)\t2\n (0, 25)\t1\n (0, 31)\t1\n (0, 36)\t1\n (0, 38)\t1\n (0, 41)\t1\n (0, 44)\t2\n (0, 46)\t3\n (0, 47)\t4\n (0, 49)\t2\n (0, 52)\t1\n (0, 53)\t3\n (0, 54)\t2\n (0, 55)\t5\n (0, 58)\t1\n (0, 67)\t1\n (0, 68)\t1\n (0, 69)\t1\n :\t:\n (0, 823)\t1\n (0, 824)\t2\n (0, 827)\t1\n (0, 830)\t1\n (0, 835)\t1\n (0, 842)\t2\n (0, 843)\t1\n (0, 849)\t1\n (0, 850)\t1\n (0, 857)\t2\n (0, 858)\t1\n (0, 861)\t1\n (0, 863)\t1\n (0, 873)\t1\n (0, 875)\t1\n (0, 880)\t1\n (0, 881)\t1\n (0, 884)\t1\n (0, 890)\t1\n (0, 898)\t6\n (0, 902)\t1\n (0, 916)\t2\n (0, 921)\t1\n (0, 932)\t5\n (0, 940)\t3 0.523618 (0, 0)\t1\n (0, 6)\t2\n (0, 8)\t1\n (0, 10)\t1\n (0, 16)\t1\n (0, 37)\t2\n (0, 38)\t1\n (0, 39)\t2\n (0, 41)\t1\n (0, 49)\t1\n (0, 51)\t1\n (0, 56)\t1\n (0, 61)\t1\n (0, 62)\t1\n (0, 77)\t1\n (0, 87)\t1\n (0, 93)\t1\n (0, 126)\t1\n (0, 131)\t2\n (0, 134)\t1\n (0, 142)\t1\n (0, 159)\t1\n (0, 164)\t1\n (0, 165)\t1\n (0, 189)\t4\n :\t:\n (0, 803)\t1\n (0, 804)\t1\n (0, 806)\t1\n (0, 812)\t1\n (0, 816)\t1\n (0, 827)\t2\n (0, 836)\t5\n (0, 837)\t2\n (0, 840)\t1\n (0, 850)\t1\n (0, 868)\t2\n (0, 869)\t1\n (0, 870)\t1\n (0, 877)\t1\n (0, 879)\t1\n (0, 888)\t1\n (0, 893)\t1\n (0, 894)\t1\n (0, 896)\t1\n (0, 904)\t1\n (0, 908)\t3\n (0, 912)\t1\n (0, 914)\t3\n (0, 916)\t1\n (0, 936)\t3 0.518413 (0, 6)\t2\n (0, 10)\t1\n (0, 16)\t1\n (0, 38)\t2\n (0, 39)\t1\n (0, 41)\t1\n (0, 49)\t1\n (0, 61)\t1\n (0, 90)\t1\n (0, 99)\t2\n (0, 131)\t2\n (0, 134)\t1\n (0, 143)\t1\n (0, 144)\t1\n (0, 164)\t1\n (0, 165)\t1\n (0, 185)\t1\n (0, 189)\t3\n (0, 203)\t2\n (0, 208)\t2\n (0, 242)\t2\n (0, 252)\t1\n (0, 262)\t4\n (0, 272)\t1\n (0, 286)\t1\n :\t:\n (0, 764)\t1\n (0, 774)\t1\n (0, 792)\t5\n (0, 794)\t1\n (0, 803)\t1\n (0, 808)\t1\n (0, 812)\t1\n (0, 813)\t1\n (0, 816)\t1\n (0, 824)\t2\n (0, 827)\t4\n (0, 836)\t6\n (0, 837)\t2\n (0, 840)\t1\n (0, 868)\t2\n (0, 869)\t1\n (0, 870)\t1\n (0, 871)\t1\n (0, 879)\t1\n (0, 890)\t1\n (0, 893)\t2\n (0, 904)\t1\n (0, 914)\t3\n (0, 916)\t1\n (0, 930)\t1 0.516873 (0, 3)\t1\n (0, 10)\t1\n (0, 25)\t1\n (0, 29)\t1\n (0, 32)\t1\n (0, 33)\t2\n (0, 34)\t1\n (0, 35)\t2\n (0, 36)\t1\n (0, 38)\t2\n (0, 46)\t1\n (0, 49)\t1\n (0, 50)\t1\n (0, 53)\t1\n (0, 55)\t1\n (0, 58)\t1\n (0, 61)\t1\n (0, 70)\t1\n (0, 79)\t2\n (0, 91)\t1\n (0, 93)\t1\n (0, 101)\t1\n (0, 108)\t2\n (0, 120)\t1\n (0, 121)\t1\n :\t:\n (0, 831)\t3\n (0, 835)\t1\n (0, 836)\t6\n (0, 843)\t4\n (0, 844)\t1\n (0, 847)\t2\n (0, 860)\t1\n (0, 868)\t2\n (0, 870)\t1\n (0, 871)\t1\n (0, 880)\t1\n (0, 888)\t1\n (0, 889)\t1\n (0, 890)\t1\n (0, 898)\t1\n (0, 901)\t1\n (0, 902)\t1\n (0, 906)\t1\n (0, 907)\t1\n (0, 911)\t1\n (0, 916)\t1\n (0, 921)\t1\n (0, 923)\t1\n (0, 925)\t1\n (0, 937)\t1 0.512733 (0, 25)\t3\n (0, 41)\t1\n (0, 50)\t2\n (0, 56)\t1\n (0, 75)\t1\n (0, 76)\t1\n (0, 77)\t1\n (0, 91)\t1\n (0, 96)\t1\n (0, 101)\t1\n (0, 130)\t1\n (0, 131)\t2\n (0, 134)\t1\n (0, 153)\t1\n (0, 164)\t2\n (0, 165)\t1\n (0, 189)\t3\n (0, 203)\t1\n (0, 204)\t1\n (0, 208)\t2\n (0, 211)\t1\n (0, 215)\t1\n (0, 219)\t1\n (0, 252)\t1\n (0, 262)\t1\n :\t:\n (0, 775)\t2\n (0, 778)\t2\n (0, 790)\t1\n (0, 803)\t1\n (0, 808)\t1\n (0, 812)\t2\n (0, 821)\t1\n (0, 824)\t1\n (0, 836)\t3\n (0, 837)\t2\n (0, 842)\t1\n (0, 847)\t1\n (0, 864)\t1\n (0, 870)\t1\n (0, 871)\t1\n (0, 876)\t2\n (0, 885)\t1\n (0, 893)\t2\n (0, 896)\t1\n (0, 904)\t1\n (0, 914)\t1\n (0, 915)\t1\n (0, 916)\t1\n (0, 923)\t1\n (0, 938)\t1 0.509893 (0, 21)\t1\n (0, 24)\t1\n (0, 25)\t3\n (0, 31)\t1\n (0, 32)\t1\n (0, 36)\t3\n (0, 37)\t4\n (0, 44)\t1\n (0, 48)\t1\n (0, 50)\t2\n (0, 60)\t2\n (0, 61)\t6\n (0, 62)\t1\n (0, 63)\t1\n (0, 68)\t2\n (0, 69)\t1\n (0, 70)\t1\n (0, 73)\t3\n (0, 91)\t1\n (0, 92)\t1\n (0, 101)\t2\n (0, 103)\t1\n (0, 105)\t1\n (0, 107)\t1\n (0, 108)\t1\n :\t:\n (0, 837)\t1\n (0, 839)\t2\n (0, 840)\t1\n (0, 841)\t1\n (0, 842)\t1\n (0, 843)\t2\n (0, 852)\t1\n (0, 858)\t1\n (0, 866)\t2\n (0, 867)\t1\n (0, 868)\t1\n (0, 871)\t1\n (0, 872)\t2\n (0, 876)\t1\n (0, 888)\t1\n (0, 890)\t4\n (0, 893)\t2\n (0, 894)\t1\n (0, 902)\t4\n (0, 907)\t1\n (0, 910)\t1\n (0, 912)\t1\n (0, 914)\t1\n (0, 915)\t1\n (0, 920)\t1 0.509723 (0, 1)\t4\n (0, 17)\t1\n (0, 18)\t1\n (0, 36)\t1\n (0, 37)\t2\n (0, 38)\t1\n (0, 45)\t1\n (0, 51)\t2\n (0, 55)\t1\n (0, 62)\t1\n (0, 65)\t1\n (0, 69)\t1\n (0, 70)\t1\n (0, 75)\t2\n (0, 76)\t2\n (0, 83)\t1\n (0, 86)\t2\n (0, 89)\t1\n (0, 91)\t6\n (0, 94)\t1\n (0, 102)\t1\n (0, 105)\t1\n (0, 113)\t1\n (0, 119)\t6\n (0, 121)\t1\n :\t:\n (0, 850)\t1\n (0, 854)\t1\n (0, 856)\t1\n (0, 857)\t1\n (0, 862)\t1\n (0, 871)\t1\n (0, 873)\t1\n (0, 874)\t1\n (0, 876)\t1\n (0, 879)\t1\n (0, 883)\t1\n (0, 888)\t1\n (0, 892)\t3\n (0, 898)\t4\n (0, 905)\t1\n (0, 909)\t1\n (0, 910)\t1\n (0, 912)\t1\n (0, 914)\t2\n (0, 915)\t1\n (0, 921)\t1\n (0, 923)\t1\n (0, 925)\t1\n (0, 932)\t1\n (0, 940)\t1 0.508468 Name: 0, dtype: float64 Component 1: (0, 5)\t1\n (0, 6)\t1\n (0, 10)\t3\n (0, 12)\t2\n (0, 13)\t2\n (0, 15)\t1\n (0, 22)\t2\n (0, 23)\t1\n (0, 31)\t1\n (0, 41)\t1\n (0, 44)\t2\n (0, 46)\t2\n (0, 49)\t1\n (0, 52)\t1\n (0, 53)\t3\n (0, 62)\t1\n (0, 64)\t1\n (0, 68)\t1\n (0, 69)\t1\n (0, 88)\t1\n (0, 116)\t1\n (0, 119)\t1\n (0, 124)\t1\n (0, 125)\t2\n (0, 128)\t1\n :\t:\n (0, 812)\t3\n (0, 814)\t2\n (0, 818)\t1\n (0, 819)\t2\n (0, 821)\t2\n (0, 822)\t3\n (0, 823)\t1\n (0, 830)\t1\n (0, 833)\t2\n (0, 842)\t1\n (0, 849)\t1\n (0, 858)\t1\n (0, 863)\t1\n (0, 869)\t1\n (0, 873)\t1\n (0, 875)\t1\n (0, 881)\t1\n (0, 885)\t1\n (0, 892)\t1\n (0, 898)\t6\n (0, 900)\t2\n (0, 921)\t1\n (0, 932)\t2\n (0, 933)\t1\n (0, 940)\t3 0.564497 (0, 5)\t1\n (0, 10)\t2\n (0, 12)\t2\n (0, 13)\t2\n (0, 15)\t1\n (0, 17)\t1\n (0, 18)\t1\n (0, 22)\t2\n (0, 23)\t1\n (0, 31)\t1\n (0, 37)\t1\n (0, 38)\t1\n (0, 41)\t1\n (0, 44)\t1\n (0, 46)\t2\n (0, 49)\t1\n (0, 52)\t1\n (0, 53)\t3\n (0, 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In [121]:
from sklearn.decomposition import TruncatedSVD
lsa = TruncatedSVD(n_components=5,n_iter=500)
lsa.fit(tfidf)
terms = vectorizer.get_feature_names()
for i,comp in enumerate(lsa.components_):
termsInComp = zip(terms,comp)
sortedterms = sorted(termsInComp, key=lambda x: x[1],reverse=True)[:10]
print("Concept %d:" % i)
for term in sortedterms:
print(term[0])
print(" ")
Concept 0: ai statistical speech cloud intelligence big engineers natural platform ml Concept 1: equipment others understand service duties essential speech rules comprehension english Concept 2: speech ai amazon ml natural engineers vision nlp equipment hardware Concept 3: aws cloud platform architecture agile big web code engineer kafka Concept 4: speech amazon natural ml nlp spoken voice statistical scientist text
There is definitely some overlap in NLP and Machine Learning here. Just from the analysis, and postings I've observed this is a move companies are making. Perhaps, this can help to level the field a bit.
In [122]:
start = time.time()
rfc = ensemble.RandomForestClassifier()
X_train_lsa = vectorizer1.fit_transform(X_train_clean)
X_test_lsa = vectorizer1.transform(X_test_clean)
fit = rfc.fit(X_train_lsa, y_train)
y_pred = rfc.predict(X_test_lsa)
print('Training set score:', rfc.score(X_train_lsa, y_train))
print('\nTest set score:', rfc.score(X_test_lsa, y_test))
end = time.time()
print("Done in %0.3fs", end - start)
Training set score: 0.9963963963963964 Test set score: 0.6263498920086393 Done in %0.3fs 2.331601142883301
In [123]:
#Try a GBM classifier here, using TF-IDF
clf = ensemble.GradientBoostingClassifier()
train = clf.fit(X_train_tfidf, y_train)
tfidf_pred = clf.predict(X_test_tfidf)
print('Training set score:', clf.score(X_train_tfidf, y_train))
print('\nTest set score:', clf.score(X_test_tfidf, y_test))
Training set score: 0.9978378378378379 Test set score: 0.8768898488120951
This was by far the best test performed. I did attempt GBM on the Bigrams, but it took too long to run, unfortunately.